Overview

Dataset statistics

Number of variables116
Number of observations2838
Missing cells0
Missing cells (%)0.0%
Total size in memory2.5 MiB
Average record size in memory928.0 B

Variable types

Numeric112
Categorical4

Warnings

post_id has a high cardinality: 2343 distinct values High cardinality
sentence_range has a high cardinality: 173 distinct values High cardinality
text has a high cardinality: 2820 distinct values High cardinality
lex_liwc_QMark is highly skewed (γ1 = 32.41435419) Skewed
lex_liwc_Exclam is highly skewed (γ1 = 22.53512291) Skewed
lex_liwc_OtherP is highly skewed (γ1 = 29.21532564) Skewed
lex_dal_min_imagery is highly skewed (γ1 = 30.72456388) Skewed
id has unique values Unique
label has 1350 (47.6%) zeros Zeros
social_karma has 199 (7.0%) zeros Zeros
lex_liwc_i has 158 (5.6%) zeros Zeros
lex_liwc_we has 1974 (69.6%) zeros Zeros
lex_liwc_you has 2090 (73.6%) zeros Zeros
lex_liwc_shehe has 1377 (48.5%) zeros Zeros
lex_liwc_they has 2035 (71.7%) zeros Zeros
lex_liwc_ipron has 80 (2.8%) zeros Zeros
lex_liwc_article has 116 (4.1%) zeros Zeros
lex_liwc_adverb has 99 (3.5%) zeros Zeros
lex_liwc_conj has 39 (1.4%) zeros Zeros
lex_liwc_negate has 591 (20.8%) zeros Zeros
lex_liwc_adj has 169 (6.0%) zeros Zeros
lex_liwc_compare has 613 (21.6%) zeros Zeros
lex_liwc_interrog has 844 (29.7%) zeros Zeros
lex_liwc_number has 1198 (42.2%) zeros Zeros
lex_liwc_quant has 524 (18.5%) zeros Zeros
lex_liwc_affect has 69 (2.4%) zeros Zeros
lex_liwc_posemo has 588 (20.7%) zeros Zeros
lex_liwc_negemo has 528 (18.6%) zeros Zeros
lex_liwc_anx has 1632 (57.5%) zeros Zeros
lex_liwc_anger has 1611 (56.8%) zeros Zeros
lex_liwc_sad has 1880 (66.2%) zeros Zeros
lex_liwc_social has 89 (3.1%) zeros Zeros
lex_liwc_family has 1954 (68.9%) zeros Zeros
lex_liwc_friend has 1968 (69.3%) zeros Zeros
lex_liwc_female has 1826 (64.3%) zeros Zeros
lex_liwc_male has 1585 (55.8%) zeros Zeros
lex_liwc_insight has 433 (15.3%) zeros Zeros
lex_liwc_cause has 844 (29.7%) zeros Zeros
lex_liwc_discrep has 809 (28.5%) zeros Zeros
lex_liwc_tentat has 360 (12.7%) zeros Zeros
lex_liwc_certain has 932 (32.8%) zeros Zeros
lex_liwc_differ has 242 (8.5%) zeros Zeros
lex_liwc_percept has 681 (24.0%) zeros Zeros
lex_liwc_see has 1923 (67.8%) zeros Zeros
lex_liwc_hear has 1901 (67.0%) zeros Zeros
lex_liwc_feel has 1587 (55.9%) zeros Zeros
lex_liwc_bio has 690 (24.3%) zeros Zeros
lex_liwc_body has 1930 (68.0%) zeros Zeros
lex_liwc_health has 1384 (48.8%) zeros Zeros
lex_liwc_sexual has 2477 (87.3%) zeros Zeros
lex_liwc_ingest has 2318 (81.7%) zeros Zeros
lex_liwc_drives has 42 (1.5%) zeros Zeros
lex_liwc_affiliation has 737 (26.0%) zeros Zeros
lex_liwc_achieve has 1064 (37.5%) zeros Zeros
lex_liwc_power has 516 (18.2%) zeros Zeros
lex_liwc_reward has 1010 (35.6%) zeros Zeros
lex_liwc_risk has 1686 (59.4%) zeros Zeros
lex_liwc_focuspast has 364 (12.8%) zeros Zeros
lex_liwc_focuspresent has 31 (1.1%) zeros Zeros
lex_liwc_focusfuture has 1234 (43.5%) zeros Zeros
lex_liwc_motion has 699 (24.6%) zeros Zeros
lex_liwc_space has 65 (2.3%) zeros Zeros
lex_liwc_time has 138 (4.9%) zeros Zeros
lex_liwc_work has 1135 (40.0%) zeros Zeros
lex_liwc_leisure has 1725 (60.8%) zeros Zeros
lex_liwc_home has 1916 (67.5%) zeros Zeros
lex_liwc_money has 1980 (69.8%) zeros Zeros
lex_liwc_relig has 2638 (93.0%) zeros Zeros
lex_liwc_death has 2580 (90.9%) zeros Zeros
lex_liwc_informal has 1627 (57.3%) zeros Zeros
lex_liwc_swear has 2430 (85.6%) zeros Zeros
lex_liwc_netspeak has 2391 (84.2%) zeros Zeros
lex_liwc_assent has 2601 (91.6%) zeros Zeros
lex_liwc_nonflu has 2558 (90.1%) zeros Zeros
lex_liwc_filler has 2731 (96.2%) zeros Zeros
lex_liwc_Period has 33 (1.2%) zeros Zeros
lex_liwc_Comma has 444 (15.6%) zeros Zeros
lex_liwc_Colon has 2475 (87.2%) zeros Zeros
lex_liwc_SemiC has 2611 (92.0%) zeros Zeros
lex_liwc_QMark has 2206 (77.7%) zeros Zeros
lex_liwc_Exclam has 2576 (90.8%) zeros Zeros
lex_liwc_Dash has 2264 (79.8%) zeros Zeros
lex_liwc_Quote has 2393 (84.3%) zeros Zeros
lex_liwc_Apostro has 531 (18.7%) zeros Zeros
lex_liwc_Parenth has 2072 (73.0%) zeros Zeros
lex_liwc_OtherP has 2042 (72.0%) zeros Zeros
social_num_comments has 293 (10.3%) zeros Zeros
sentiment has 59 (2.1%) zeros Zeros

Reproduction

Analysis started2021-08-26 06:10:52.495988
Analysis finished2021-08-26 06:10:54.649296
Duration2.15 seconds
Software versionpandas-profiling v3.0.0
Download configurationconfig.json

Variables

id
Real number (ℝ≥0)

UNIQUE

Distinct2838
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13751.9993
Minimum4
Maximum55757
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:10:55.097339image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile187.85
Q1926.25
median1891.5
Q325473.75
95-th percentile50518.75
Maximum55757
Range55753
Interquartile range (IQR)24547.5

Descriptive statistics

Standard deviation17340.1619
Coefficient of variation (CV)1.260919342
Kurtosis-0.3521636556
Mean13751.9993
Median Absolute Deviation (MAD)1688
Skewness1.048226063
Sum39028174
Variance300681214.6
MonotonicityNot monotonic
2021-08-26T06:10:55.358277image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
286721
 
< 0.1%
6031
 
< 0.1%
518341
 
< 0.1%
197321
 
< 0.1%
24511
 
< 0.1%
6371
 
< 0.1%
456951
 
< 0.1%
6411
 
< 0.1%
538911
 
< 0.1%
293171
 
< 0.1%
Other values (2828)2828
99.6%
ValueCountFrequency (%)
41
< 0.1%
51
< 0.1%
61
< 0.1%
71
< 0.1%
81
< 0.1%
ValueCountFrequency (%)
557571
< 0.1%
556991
< 0.1%
556701
< 0.1%
554191
< 0.1%
554161
< 0.1%

subreddit
Categorical

Distinct10
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size22.3 KiB
ptsd
584 
relationships
552 
anxiety
503 
domesticviolence
316 
assistance
289 
Other values (5)
594 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowptsd
2nd rowassistance
3rd rowptsd
4th rowrelationships
5th rowsurvivorsofabuse

Common Values

ValueCountFrequency (%)
ptsd584
20.6%
relationships552
19.5%
anxiety503
17.7%
domesticviolence316
11.1%
assistance289
10.2%
survivorsofabuse245
8.6%
homeless168
 
5.9%
almosthomeless80
 
2.8%
stress64
 
2.3%
food_pantry37
 
1.3%

post_id
Categorical

HIGH CARDINALITY

Distinct2343
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Memory size22.3 KiB
9md6qz
 
6
7o5n2d
 
6
9kegfm
 
5
7r6fsr
 
5
6yq1rh
 
5
Other values (2338)
2811 

Unique

Unique1963 ?
Unique (%)69.2%

Sample

1st row8601tu
2nd row8lbrx9
3rd row9ch1zh
4th row7rorpp
5th row9p2gbc

Common Values

ValueCountFrequency (%)
9md6qz6
 
0.2%
7o5n2d6
 
0.2%
9kegfm5
 
0.2%
7r6fsr5
 
0.2%
6yq1rh5
 
0.2%
5n56lm5
 
0.2%
9xh5gt5
 
0.2%
7m9h5q5
 
0.2%
6aztof5
 
0.2%
7nnu345
 
0.2%
Other values (2333)2786
98.2%

sentence_range
Categorical

HIGH CARDINALITY

Distinct173
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size22.3 KiB
(0, 5)
337 
[0, 5]
334 
[5, 10]
260 
(5, 10)
215 
[10, 15]
162 
Other values (168)
1530 

Unique

Unique57 ?
Unique (%)2.0%

Sample

1st row(15, 20)
2nd row(0, 5)
3rd row(15, 20)
4th row[5, 10]
5th row[0, 5]

Common Values

ValueCountFrequency (%)
(0, 5)337
 
11.9%
[0, 5]334
 
11.8%
[5, 10]260
 
9.2%
(5, 10)215
 
7.6%
[10, 15]162
 
5.7%
(10, 15)130
 
4.6%
[15, 20]109
 
3.8%
[20, 25]84
 
3.0%
(15, 20)81
 
2.9%
(20, 25)65
 
2.3%
Other values (163)1061
37.4%

text
Categorical

HIGH CARDINALITY

Distinct2820
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size22.3 KiB
#NAME?
 
4
Hello, You are invited to complete a survey for a WMU psychology department research project designed to assess treatment preferences among adults seeking treatment for a variety of concerns. We hope to learn if and how preferences for treatment change over time, and if patient’s perception of their treatment’s match to their preferences is related to the benefit received from treatment. The survey is open to anyone ages 18 or older who is currently engaged in mental health treatment for at least one month and four therapy sessions, and not longer than one year. If you choose to participate, you will be asked to provide some demographic/background information, respond to survey items about your preferences for treatment and how they have changed over time, and about your quality of life. The survey may take between 30-40 minutes to complete.
 
4
Your responses to the survey items will be anonymous and kept confidential. Clicking the “SURVEY” link below will take you to a page asking you to read through a consent form explaining the purpose of this research, the content of the survey, the type of questions you will be asked, the amount of time it may take to complete the survey, and the risks and benefits of your participation. At the end of the form you can click “AGREE” to consent to the use of the answers you provide and to begin completing the survey. Thank you for your time and interest. <url>
 
3
7. This study will include only participants who are 18 years and older. Please send us a private message if you are interested in participating. Once you contact us, we will send you a link to the screening questionnaire to see if you qualify and to tell you more about the study. Please note: If you participated in this study at any point in 2016 through Vanderbilt University, unfortunately you are not eligible to participate again.
 
3
The current study explores the experience of young adults aged 18 - 40 years who have previously been in foster care or had involvement with the Department of Child Safety/Protection and remained with their biological family. If you have a spare 10 - 25 minutes and are willing to participate it would be greatly appreciated. Please click on the link below for more information around how the process works and how your confidentiality will be protected. Thank you kindly for your assistance, as your experience will be valuable in guiding research and clinical interventions for those in the foster care system. <url>
 
2
Other values (2815)
2822 

Unique

Unique2808 ?
Unique (%)98.9%

Sample

1st rowHe said he had not felt that way before, suggeted I go rest and so ..TRIGGER AHEAD IF YOUI'RE A HYPOCONDRIAC LIKE ME: i decide to look up "feelings of doom" in hopes of maybe getting sucked into some rabbit hole of ludicrous conspiracy, a stupid "are you psychic" test or new age b.s., something I could even laugh at down the road. No, I ended up reading that this sense of doom can be indicative of various health ailments; one of which I am prone to.. So on top of my "doom" to my gloom..I am now f'n worried about my heart. I do happen to have a physical in 48 hours.
2nd rowHey there r/assistance, Not sure if this is the right place to post this.. but here goes =) I'm currently a student intern at Sandia National Labs and working on a survey to help improve our marketing outreach efforts at the many schools we recruit at around the country. We're looking for current undergrad/grad STEM students so if you're a STEM student or know STEM students, I would greatly appreciate if you can help take or pass along this short survey. As a thank you, everyone who helps take the survey will be entered in to a drawing for chance to win one of three $50 Amazon gcs.
3rd rowMy mom then hit me with the newspaper and it shocked me that she would do this, she knows I don't like play hitting, smacking, striking, hitting or violence of any sort on my person. Do I send out this vibe asking for it from the universe? Then yesterday I decided to take my friend to go help another "friend" move to a new place. While we were driving the friend we are moving strikes me on my shoulder. And I address it immediately because this is the 4th time I have told him not to do these things, then my other friend who is driving nearly gets into an collision with another car i think because he was high on marijuana and the friend we are moving in the backseat is like "you have to understand I was just trying to get your attention" you know the thing 5 year olds do to get peoples attention by smacking them, this guy is in his 60's.
4th rowuntil i met my new boyfriend, he is amazing, he is kind, he is sweet, he is a good student, he likes the same things as me, my family likes him, and so on... but i dont feel that passion that rush i felt with my ex, the truth is that when i started going out with my boyfriend i secretly saw my ex a few times to see if i really didnt feel nothing for him, but it was disgusting, i didnt even want him to touch me, i feel bad with myself i didnt want him, but still, i was there. then i kinda realized i felt nothing love related for him and it was ok, HE was HURT when he knew i was dating this boy and he even begged me to stay but of course not. but now the problem is that when im with my boyfriend i dont feel like i love him, like that thing you kinda have to feel with a new love, i just feel "ok" with him, and i catch myself thinking about my ex from time to time, remembering all the good things we had and it drives me crazy because i know that if i see him again i wont feel that way, that "love" that my mind makes me think stills there. and recently i found out that he has a girl and he is actually enjoying the experience and i got so mad and so hurt (i know i dont have any right to feel that way) i felt betrayed and I STILL feel that way, i gross myself out.
5th rowOctober is Domestic Violence Awareness Month and I am a domestic violence survivor who is still struggling, even after over four years. Lately I have been feeling very angry. Angry that my abusive ex received no real consequences for his actions. This man abused me in all manners: physically, sexually, emotionally, verbally, financially, etc. I was granted a restraining order against him (and it was renewed a year later) but I was unable to press criminal charges against him because I didn’t have enough evidence to have a case.

Common Values

ValueCountFrequency (%)
#NAME?4
 
0.1%
Hello, You are invited to complete a survey for a WMU psychology department research project designed to assess treatment preferences among adults seeking treatment for a variety of concerns. We hope to learn if and how preferences for treatment change over time, and if patient’s perception of their treatment’s match to their preferences is related to the benefit received from treatment. The survey is open to anyone ages 18 or older who is currently engaged in mental health treatment for at least one month and four therapy sessions, and not longer than one year. If you choose to participate, you will be asked to provide some demographic/background information, respond to survey items about your preferences for treatment and how they have changed over time, and about your quality of life. The survey may take between 30-40 minutes to complete.4
 
0.1%
Your responses to the survey items will be anonymous and kept confidential. Clicking the “SURVEY” link below will take you to a page asking you to read through a consent form explaining the purpose of this research, the content of the survey, the type of questions you will be asked, the amount of time it may take to complete the survey, and the risks and benefits of your participation. At the end of the form you can click “AGREE” to consent to the use of the answers you provide and to begin completing the survey. Thank you for your time and interest. <url>3
 
0.1%
7. This study will include only participants who are 18 years and older. Please send us a private message if you are interested in participating. Once you contact us, we will send you a link to the screening questionnaire to see if you qualify and to tell you more about the study. Please note: If you participated in this study at any point in 2016 through Vanderbilt University, unfortunately you are not eligible to participate again.3
 
0.1%
The current study explores the experience of young adults aged 18 - 40 years who have previously been in foster care or had involvement with the Department of Child Safety/Protection and remained with their biological family. If you have a spare 10 - 25 minutes and are willing to participate it would be greatly appreciated. Please click on the link below for more information around how the process works and how your confidentiality will be protected. Thank you kindly for your assistance, as your experience will be valuable in guiding research and clinical interventions for those in the foster care system. <url>2
 
0.1%
I'm new to this so please forgive me. I'm not very good at expressing my emotions. I need advice/help. I was molested multiple times by my biological dad when I was 5 up until middle school (so like 10 yrs old). After many times in the past telling my mom that my dad had "touched me weird" my mom had gotten annoyed and mad at me.2
 
0.1%
If you have a survey you would like to share with us, you may do so here, please use the following format. Failure to do so will result in your survey being removed. Surveys not posted in here will result in a ban, the length of which will be decided at mods' pleasure. __Who I am__: _(Student, Researcher)_ __Affiliation__: _(university, company)_2
 
0.1%
Help me network, help me find a room, please! ISO a room for rent as soon as possible. Looking for a roommate-type situation, a room in someone's house, etc. Not looking for full houses or units. I need as soon as possible--I'm dealing with an emergency situation and am losing my housing on Friday, August 11th.2
 
0.1%
Can you contribute your story alongside others who have been/ are going through recovery? I am developing a storytelling and mental health platform with the ultimate aim of curating a museum exhibition. Soul relics Museum is a platform for people to read and tell stories of mental health through objects that help them connect or express to a present or past experience they have had with their mental health. It’s a unique and creative idea to help people come forward and share with others what mental health problems have been like for them and a safe and constructive way to read of others experiences while being brave enough to share your own. Together, we can create a collective voice in raising awareness and education on mental health!2
 
0.1%
If you were raped on a daily basis from infancy through adolescence then you should "radically accept" it. Check out the parts of Linehan's book where she explains how unconditional positive regard is a myth, nonexistent. The part where she explains about paradoxical intervention. That is where you manipulate and jerk your client around using head games and reverse psychology. Then there is radical genuineness.2
 
0.1%
Other values (2810)2812
99.1%

label
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5243128964
Minimum0
Maximum1
Zeros1350
Zeros (%)47.6%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:10:56.470906image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4994965425
Coefficient of variation (CV)0.9526688089
Kurtosis-1.991913924
Mean0.5243128964
Median Absolute Deviation (MAD)0
Skewness-0.09741826116
Sum1488
Variance0.249496796
MonotonicityNot monotonic
2021-08-26T06:10:56.632406image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
11488
52.4%
01350
47.6%
ValueCountFrequency (%)
01350
47.6%
11488
52.4%
ValueCountFrequency (%)
11488
52.4%
01350
47.6%

confidence
Real number (ℝ≥0)

Distinct10
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8089717775
Minimum0.428571429
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:10:56.791162image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0.428571429
5-th percentile0.571428571
Q10.6
median0.8
Q31
95-th percentile1
Maximum1
Range0.571428571
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation0.1770383438
Coefficient of variation (CV)0.218843659
Kurtosis-1.563063542
Mean0.8089717775
Median Absolute Deviation (MAD)0.2
Skewness-0.1865205557
Sum2295.861905
Variance0.03134257518
MonotonicityNot monotonic
2021-08-26T06:10:56.948177image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
11128
39.7%
0.8595
21.0%
0.6496
17.5%
0.571428571369
 
13.0%
0.83333333399
 
3.5%
0.66666666771
 
2.5%
0.534
 
1.2%
0.85714285730
 
1.1%
0.71428571414
 
0.5%
0.4285714292
 
0.1%
ValueCountFrequency (%)
0.4285714292
 
0.1%
0.534
 
1.2%
0.571428571369
13.0%
0.6496
17.5%
0.66666666771
 
2.5%
ValueCountFrequency (%)
11128
39.7%
0.85714285730
 
1.1%
0.83333333399
 
3.5%
0.8595
21.0%
0.71428571414
 
0.5%

social_timestamp
Real number (ℝ≥0)

Distinct2343
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1518107030
Minimum1483274218
Maximum1542592460
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:10:57.144293image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1483274218
5-th percentile1488655637
Q11509697708
median1517066008
Q31530897793
95-th percentile1540799481
Maximum1542592460
Range59318242
Interquartile range (IQR)21200085

Descriptive statistics

Standard deviation15522089.22
Coefficient of variation (CV)0.01022463431
Kurtosis-0.5710856343
Mean1518107030
Median Absolute Deviation (MAD)11318428
Skewness-0.3922977333
Sum4.308387752 × 1012
Variance2.409352538 × 1014
MonotonicityNot monotonic
2021-08-26T06:10:57.360965image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15389885856
 
0.2%
15150965766
 
0.2%
15143139665
 
0.2%
14840569475
 
0.2%
15383813025
 
0.2%
14947054875
 
0.2%
15048175685
 
0.2%
15423290825
 
0.2%
15162419485
 
0.2%
15149139465
 
0.2%
Other values (2333)2786
98.2%
ValueCountFrequency (%)
14832742182
0.1%
14832957061
< 0.1%
14834598281
< 0.1%
14834815901
< 0.1%
14835095751
< 0.1%
ValueCountFrequency (%)
15425924601
< 0.1%
15425826181
< 0.1%
15425785201
< 0.1%
15425731651
< 0.1%
15425518531
< 0.1%

social_karma
Real number (ℝ≥0)

ZEROS

Distinct135
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.26215645
Minimum0
Maximum1435
Zeros199
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:10:57.585478image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q310
95-th percentile50
Maximum1435
Range1435
Interquartile range (IQR)8

Descriptive statistics

Standard deviation79.41916603
Coefficient of variation (CV)4.348838334
Kurtosis165.9347782
Mean18.26215645
Median Absolute Deviation (MAD)4
Skewness11.69715858
Sum51828
Variance6307.403932
MonotonicityNot monotonic
2021-08-26T06:10:57.963140image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1385
13.6%
2330
11.6%
3317
11.2%
0199
 
7.0%
5186
 
6.6%
4182
 
6.4%
6147
 
5.2%
7108
 
3.8%
8102
 
3.6%
997
 
3.4%
Other values (125)785
27.7%
ValueCountFrequency (%)
0199
7.0%
1385
13.6%
2330
11.6%
3317
11.2%
4182
6.4%
ValueCountFrequency (%)
14352
0.1%
12711
< 0.1%
11892
0.1%
11222
0.1%
8961
< 0.1%

syntax_ari
Real number (ℝ)

Distinct2659
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.684271964
Minimum-6.62
Maximum24.07423077
Zeros6
Zeros (%)0.2%
Negative129
Negative (%)4.5%
Memory size22.3 KiB
2021-08-26T06:10:58.185417image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-6.62
5-th percentile0.04175111915
Q12.464243317
median4.321886117
Q36.505657095
95-th percentile10.62774432
Maximum24.07423077
Range30.69423077
Interquartile range (IQR)4.041413778

Descriptive statistics

Standard deviation3.316434855
Coefficient of variation (CV)0.7079936606
Kurtosis1.813726623
Mean4.684271964
Median Absolute Deviation (MAD)2.001041047
Skewness0.778643453
Sum13293.96384
Variance10.99874015
MonotonicityNot monotonic
2021-08-26T06:10:58.410222image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
06
 
0.2%
2.8230769234
 
0.1%
15.991818184
 
0.1%
4.1273846154
 
0.1%
5.1504878053
 
0.1%
2.913
 
0.1%
3.8479310343
 
0.1%
8.1086842113
 
0.1%
3.4238181823
 
0.1%
4.1998461543
 
0.1%
Other values (2649)2802
98.7%
ValueCountFrequency (%)
-6.621
< 0.1%
-5.6851
< 0.1%
-4.3291
< 0.1%
-4.2511111111
< 0.1%
-4.2487619051
< 0.1%
ValueCountFrequency (%)
24.074230771
< 0.1%
23.830919541
< 0.1%
21.239821431
< 0.1%
18.807696711
< 0.1%
18.692466671
< 0.1%

lex_liwc_WC
Real number (ℝ≥0)

Distinct198
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.99612403
Minimum5
Maximum310
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:10:58.631198image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile43
Q165
median81
Q3101
95-th percentile143
Maximum310
Range305
Interquartile range (IQR)36

Descriptive statistics

Standard deviation32.33488715
Coefficient of variation (CV)0.3760040061
Kurtosis4.140388422
Mean85.99612403
Median Absolute Deviation (MAD)18
Skewness1.328321509
Sum244057
Variance1045.544927
MonotonicityNot monotonic
2021-08-26T06:10:58.850699image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7861
 
2.1%
7658
 
2.0%
6354
 
1.9%
6552
 
1.8%
7551
 
1.8%
6849
 
1.7%
8849
 
1.7%
7348
 
1.7%
6748
 
1.7%
6945
 
1.6%
Other values (188)2323
81.9%
ValueCountFrequency (%)
51
< 0.1%
81
< 0.1%
91
< 0.1%
121
< 0.1%
151
< 0.1%
ValueCountFrequency (%)
3101
< 0.1%
2931
< 0.1%
2731
< 0.1%
2661
< 0.1%
2621
< 0.1%

lex_liwc_Analytic
Real number (ℝ≥0)

Distinct1435
Distinct (%)50.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.2409408
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:10:59.079433image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.01
Q112.41
median29.42
Q355.0575
95-th percentile84.618
Maximum99
Range98
Interquartile range (IQR)42.6475

Descriptive statistics

Standard deviation26.48618873
Coefficient of variation (CV)0.7515743941
Kurtosis-0.7462785237
Mean35.2409408
Median Absolute Deviation (MAD)19.57
Skewness0.5877385586
Sum100013.79
Variance701.5181935
MonotonicityNot monotonic
2021-08-26T06:10:59.308457image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
167
 
2.4%
17.9637
 
1.3%
37.3920
 
0.7%
8.1920
 
0.7%
28.2218
 
0.6%
51.4318
 
0.6%
1.817
 
0.6%
92.8413
 
0.5%
45.1113
 
0.5%
42.6912
 
0.4%
Other values (1425)2603
91.7%
ValueCountFrequency (%)
167
2.4%
1.032
 
0.1%
1.052
 
0.1%
1.062
 
0.1%
1.11
 
< 0.1%
ValueCountFrequency (%)
995
0.2%
98.951
 
< 0.1%
98.881
 
< 0.1%
98.643
0.1%
98.571
 
< 0.1%

lex_liwc_Clout
Real number (ℝ≥0)

Distinct1323
Distinct (%)46.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.94823115
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:10:59.533850image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.8685
Q112.135
median33.52
Q369.32
95-th percentile96.1875
Maximum99
Range98
Interquartile range (IQR)57.185

Descriptive statistics

Standard deviation31.58711732
Coefficient of variation (CV)0.7713914968
Kurtosis-1.206069383
Mean40.94823115
Median Absolute Deviation (MAD)25.385
Skewness0.4140939107
Sum116211.08
Variance997.7459805
MonotonicityNot monotonic
2021-08-26T06:10:59.754726image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50100
 
3.5%
184
 
3.0%
9959
 
2.1%
13.3220
 
0.7%
18.1615
 
0.5%
7.6713
 
0.5%
22.0812
 
0.4%
9.1311
 
0.4%
10.5811
 
0.4%
6.2111
 
0.4%
Other values (1313)2502
88.2%
ValueCountFrequency (%)
184
3.0%
1.021
 
< 0.1%
1.041
 
< 0.1%
1.071
 
< 0.1%
1.11
 
< 0.1%
ValueCountFrequency (%)
9959
2.1%
98.821
 
< 0.1%
98.81
 
< 0.1%
98.751
 
< 0.1%
98.722
 
0.1%

lex_liwc_Authentic
Real number (ℝ≥0)

Distinct978
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.04424947
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:10:59.975261image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.4655
Q141.07
median80.71
Q396.18
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)55.11

Descriptive statistics

Standard deviation32.88064441
Coefficient of variation (CV)0.4904319859
Kurtosis-0.8636802219
Mean67.04424947
Median Absolute Deviation (MAD)18.29
Skewness-0.749528817
Sum190271.58
Variance1081.136777
MonotonicityNot monotonic
2021-08-26T06:11:00.203627image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99381
 
13.4%
161
 
2.1%
98.0156
 
2.0%
74.7634
 
1.2%
89.6328
 
1.0%
85.2117
 
0.6%
58.0717
 
0.6%
43.3716
 
0.6%
94.8115
 
0.5%
93.314
 
0.5%
Other values (968)2199
77.5%
ValueCountFrequency (%)
161
2.1%
1.011
 
< 0.1%
1.021
 
< 0.1%
1.064
 
0.1%
1.141
 
< 0.1%
ValueCountFrequency (%)
99381
13.4%
98.984
 
0.1%
98.971
 
< 0.1%
98.963
 
0.1%
98.934
 
0.1%

lex_liwc_Tone
Real number (ℝ≥0)

Distinct489
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.42815715
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:00.427150image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.42
median25.77
Q361.55
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)60.13

Descriptive statistics

Standard deviation35.33477032
Coefficient of variation (CV)1.057036144
Kurtosis-1.01386818
Mean33.42815715
Median Absolute Deviation (MAD)24.77
Skewness0.7214415698
Sum94869.11
Variance1248.545994
MonotonicityNot monotonic
2021-08-26T06:11:00.648009image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1648
22.8%
25.77348
 
12.3%
99169
 
6.0%
2.0915
 
0.5%
83.2215
 
0.5%
6.5413
 
0.5%
1.0313
 
0.5%
11.1712
 
0.4%
8.1411
 
0.4%
74.7411
 
0.4%
Other values (479)1583
55.8%
ValueCountFrequency (%)
1648
22.8%
1.0313
 
0.5%
1.13
 
0.1%
1.139
 
0.3%
1.151
 
< 0.1%
ValueCountFrequency (%)
99169
6.0%
98.872
 
0.1%
98.723
 
0.1%
98.662
 
0.1%
98.641
 
< 0.1%

lex_liwc_WPS
Real number (ℝ≥0)

Distinct360
Distinct (%)12.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.18947498
Minimum2.4
Maximum233
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:00.861477image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum2.4
5-th percentile9.25
Q113.4
median16.775
Q321
95-th percentile30.2
Maximum233
Range230.6
Interquartile range (IQR)7.6

Descriptive statistics

Standard deviation9.516060096
Coefficient of variation (CV)0.5231629888
Kurtosis156.6823599
Mean18.18947498
Median Absolute Deviation (MAD)3.775
Skewness8.638834092
Sum51621.73
Variance90.55539976
MonotonicityNot monotonic
2021-08-26T06:11:01.079462image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1551
 
1.8%
15.247
 
1.7%
15.647
 
1.7%
1346
 
1.6%
14.641
 
1.4%
13.641
 
1.4%
1941
 
1.4%
1841
 
1.4%
17.640
 
1.4%
1439
 
1.4%
Other values (350)2404
84.7%
ValueCountFrequency (%)
2.41
 
< 0.1%
3.41
 
< 0.1%
3.63
0.1%
3.81
 
< 0.1%
41
 
< 0.1%
ValueCountFrequency (%)
2331
< 0.1%
2081
< 0.1%
1081
< 0.1%
1051
< 0.1%
981
< 0.1%

lex_liwc_Sixltr
Real number (ℝ≥0)

Distinct938
Distinct (%)33.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.85815715
Minimum0
Maximum65.12
Zeros3
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:01.294483image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.67
Q111.11
median14.29
Q318.0225
95-th percentile24.473
Maximum65.12
Range65.12
Interquartile range (IQR)6.9125

Descriptive statistics

Standard deviation5.531303014
Coefficient of variation (CV)0.3722738262
Kurtosis3.848776
Mean14.85815715
Median Absolute Deviation (MAD)3.39
Skewness0.9442867637
Sum42167.45
Variance30.59531303
MonotonicityNot monotonic
2021-08-26T06:11:01.513870image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.2947
 
1.7%
16.6746
 
1.6%
12.535
 
1.2%
18.1823
 
0.8%
1023
 
0.8%
2022
 
0.8%
11.1121
 
0.7%
13.3321
 
0.7%
10.5317
 
0.6%
13.8516
 
0.6%
Other values (928)2567
90.5%
ValueCountFrequency (%)
03
0.1%
1.791
 
< 0.1%
1.961
 
< 0.1%
2.131
 
< 0.1%
2.222
0.1%
ValueCountFrequency (%)
65.121
< 0.1%
501
< 0.1%
44.441
< 0.1%
43.751
< 0.1%
40.911
< 0.1%

lex_liwc_Dic
Real number (ℝ≥0)

Distinct833
Distinct (%)29.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.34929175
Minimum27.91
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:01.738483image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum27.91
5-th percentile83.33
Q190.09
median93.43
Q395.77
95-th percentile98.39
Maximum100
Range72.09
Interquartile range (IQR)5.68

Descriptive statistics

Standard deviation5.301902036
Coefficient of variation (CV)0.057411399
Kurtosis18.48688502
Mean92.34929175
Median Absolute Deviation (MAD)2.72
Skewness-2.717680197
Sum262087.29
Variance28.1101652
MonotonicityNot monotonic
2021-08-26T06:11:01.954537image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10056
 
2.0%
95.4528
 
1.0%
93.3327
 
1.0%
91.6725
 
0.9%
9524
 
0.8%
92.3123
 
0.8%
88.8923
 
0.8%
95.2422
 
0.8%
94.7422
 
0.8%
94.4421
 
0.7%
Other values (823)2567
90.5%
ValueCountFrequency (%)
27.911
< 0.1%
37.51
< 0.1%
43.751
< 0.1%
501
< 0.1%
58.331
< 0.1%
ValueCountFrequency (%)
10056
2.0%
99.421
 
< 0.1%
99.281
 
< 0.1%
99.261
 
< 0.1%
99.141
 
< 0.1%

lex_liwc_function
Real number (ℝ≥0)

Distinct1048
Distinct (%)36.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.59888654
Minimum4.17
Maximum77.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:02.178522image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum4.17
5-th percentile47.3285
Q154.84
median59.26
Q363.025
95-th percentile68.42
Maximum77.78
Range73.61
Interquartile range (IQR)8.185

Descriptive statistics

Standard deviation6.852503061
Coefficient of variation (CV)0.1169391343
Kurtosis5.604789118
Mean58.59888654
Median Absolute Deviation (MAD)4.09
Skewness-1.268100926
Sum166303.64
Variance46.9567982
MonotonicityNot monotonic
2021-08-26T06:11:02.593934image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6055
 
1.9%
66.6745
 
1.6%
62.533
 
1.2%
5031
 
1.1%
55.5630
 
1.1%
57.1421
 
0.7%
54.5518
 
0.6%
58.3318
 
0.6%
61.916
 
0.6%
61.5416
 
0.6%
Other values (1038)2555
90.0%
ValueCountFrequency (%)
4.171
< 0.1%
11.111
< 0.1%
12.51
< 0.1%
161
< 0.1%
16.281
< 0.1%
ValueCountFrequency (%)
77.781
 
< 0.1%
753
0.1%
741
 
< 0.1%
73.971
 
< 0.1%
73.912
0.1%

lex_liwc_pronoun
Real number (ℝ≥0)

Distinct964
Distinct (%)34.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.76769908
Minimum0
Maximum44.44
Zeros9
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:02.822597image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.5555
Q116.05
median19.835
Q323.5225
95-th percentile28.5895
Maximum44.44
Range44.44
Interquartile range (IQR)7.4725

Descriptive statistics

Standard deviation5.577771859
Coefficient of variation (CV)0.2821659635
Kurtosis0.3909760612
Mean19.76769908
Median Absolute Deviation (MAD)3.745
Skewness-0.08411230147
Sum56100.73
Variance31.11153891
MonotonicityNot monotonic
2021-08-26T06:11:03.042690image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2047
 
1.7%
2546
 
1.6%
22.2233
 
1.2%
16.6731
 
1.1%
18.1828
 
1.0%
15.3825
 
0.9%
14.2923
 
0.8%
18.7518
 
0.6%
21.4318
 
0.6%
23.0817
 
0.6%
Other values (954)2552
89.9%
ValueCountFrequency (%)
09
0.3%
1.051
 
< 0.1%
1.641
 
< 0.1%
1.891
 
< 0.1%
2.331
 
< 0.1%
ValueCountFrequency (%)
44.441
< 0.1%
43.591
< 0.1%
37.931
< 0.1%
371
< 0.1%
36.921
< 0.1%

lex_liwc_ppron
Real number (ℝ≥0)

Distinct889
Distinct (%)31.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.98752995
Minimum0
Maximum30.77
Zeros18
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:03.264994image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.577
Q110.7175
median13.79
Q317.185
95-th percentile21.95
Maximum30.77
Range30.77
Interquartile range (IQR)6.4675

Descriptive statistics

Standard deviation4.792444661
Coefficient of variation (CV)0.3426226559
Kurtosis0.2236835754
Mean13.98752995
Median Absolute Deviation (MAD)3.185
Skewness0.1299072603
Sum39696.61
Variance22.96752583
MonotonicityNot monotonic
2021-08-26T06:11:03.485664image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.544
 
1.6%
14.2940
 
1.4%
16.6735
 
1.2%
11.1131
 
1.1%
2031
 
1.1%
13.3328
 
1.0%
9.0921
 
0.7%
018
 
0.6%
18.1816
 
0.6%
11.5416
 
0.6%
Other values (879)2558
90.1%
ValueCountFrequency (%)
018
0.6%
0.831
 
< 0.1%
11
 
< 0.1%
1.011
 
< 0.1%
1.041
 
< 0.1%
ValueCountFrequency (%)
30.771
< 0.1%
301
< 0.1%
29.411
< 0.1%
291
< 0.1%
28.771
< 0.1%

lex_liwc_i
Real number (ℝ≥0)

ZEROS

Distinct810
Distinct (%)28.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.066254405
Minimum0
Maximum30
Zeros158
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:03.710217image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.06
median9.38
Q312.2
95-th percentile16.3945
Maximum30
Range30
Interquartile range (IQR)6.14

Descriptive statistics

Standard deviation4.653985837
Coefficient of variation (CV)0.5133306026
Kurtosis-0.1615563581
Mean9.066254405
Median Absolute Deviation (MAD)3.095
Skewness-0.01803841248
Sum25730.03
Variance21.65958417
MonotonicityNot monotonic
2021-08-26T06:11:03.933116image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0158
 
5.6%
11.1141
 
1.4%
12.536
 
1.3%
14.2932
 
1.1%
13.3327
 
1.0%
9.0924
 
0.8%
1022
 
0.8%
8.3321
 
0.7%
11.5420
 
0.7%
7.6920
 
0.7%
Other values (800)2437
85.9%
ValueCountFrequency (%)
0158
5.6%
0.652
 
0.1%
0.71
 
< 0.1%
0.781
 
< 0.1%
0.792
 
0.1%
ValueCountFrequency (%)
301
< 0.1%
27.781
< 0.1%
24.241
< 0.1%
24.071
< 0.1%
23.441
< 0.1%

lex_liwc_we
Real number (ℝ≥0)

ZEROS

Distinct293
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7646793517
Minimum0
Maximum12.96
Zeros1974
Zeros (%)69.6%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:04.156325image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.0475
95-th percentile3.95
Maximum12.96
Range12.96
Interquartile range (IQR)1.0475

Descriptive statistics

Standard deviation1.564468134
Coefficient of variation (CV)2.045913925
Kurtosis11.64363474
Mean0.7646793517
Median Absolute Deviation (MAD)0
Skewness2.996352267
Sum2170.16
Variance2.447560542
MonotonicityNot monotonic
2021-08-26T06:11:04.392170image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01974
69.6%
1.2812
 
0.4%
1.5611
 
0.4%
1.3211
 
0.4%
2.6310
 
0.4%
1.6710
 
0.4%
1.419
 
0.3%
1.149
 
0.3%
1.189
 
0.3%
0.939
 
0.3%
Other values (283)774
 
27.3%
ValueCountFrequency (%)
01974
69.6%
0.371
 
< 0.1%
0.381
 
< 0.1%
0.461
 
< 0.1%
0.471
 
< 0.1%
ValueCountFrequency (%)
12.961
< 0.1%
12.771
< 0.1%
12.21
< 0.1%
12.091
< 0.1%
11.111
< 0.1%

lex_liwc_you
Real number (ℝ≥0)

ZEROS

Distinct324
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8657716702
Minimum0
Maximum25
Zeros2090
Zeros (%)73.6%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:04.598259image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.7975
95-th percentile5.13
Maximum25
Range25
Interquartile range (IQR)0.7975

Descriptive statistics

Standard deviation2.095718957
Coefficient of variation (CV)2.420637022
Kurtosis20.21023094
Mean0.8657716702
Median Absolute Deviation (MAD)0
Skewness3.818235043
Sum2457.06
Variance4.392037949
MonotonicityNot monotonic
2021-08-26T06:11:04.785835image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02090
73.6%
1.7211
 
0.4%
1.3210
 
0.4%
1.439
 
0.3%
1.969
 
0.3%
1.899
 
0.3%
1.059
 
0.3%
5.269
 
0.3%
1.798
 
0.3%
1.548
 
0.3%
Other values (314)666
 
23.5%
ValueCountFrequency (%)
02090
73.6%
0.371
 
< 0.1%
0.525
 
0.2%
0.531
 
< 0.1%
0.551
 
< 0.1%
ValueCountFrequency (%)
251
< 0.1%
201
< 0.1%
19.051
< 0.1%
16.671
< 0.1%
14.441
< 0.1%

lex_liwc_shehe
Real number (ℝ≥0)

ZEROS

Distinct548
Distinct (%)19.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.70807611
Minimum0
Maximum23.47
Zeros1377
Zeros (%)48.5%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:04.962270image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.95
Q34.76
95-th percentile10
Maximum23.47
Range23.47
Interquartile range (IQR)4.76

Descriptive statistics

Standard deviation3.611686827
Coefficient of variation (CV)1.333672571
Kurtosis1.537197549
Mean2.70807611
Median Absolute Deviation (MAD)0.95
Skewness1.391167
Sum7685.52
Variance13.04428174
MonotonicityNot monotonic
2021-08-26T06:11:05.142532image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01377
48.5%
4.7623
 
0.8%
9.0914
 
0.5%
412
 
0.4%
8.3312
 
0.4%
5.2611
 
0.4%
6.6711
 
0.4%
3.5711
 
0.4%
8.1110
 
0.4%
6.2510
 
0.4%
Other values (538)1347
47.5%
ValueCountFrequency (%)
01377
48.5%
0.531
 
< 0.1%
0.611
 
< 0.1%
0.631
 
< 0.1%
0.641
 
< 0.1%
ValueCountFrequency (%)
23.471
< 0.1%
20.631
< 0.1%
18.061
< 0.1%
18.031
< 0.1%
17.541
< 0.1%

lex_liwc_they
Real number (ℝ≥0)

ZEROS

Distinct263
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5826673714
Minimum0
Maximum12.86
Zeros2035
Zeros (%)71.7%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:05.317430image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.88
95-th percentile2.94
Maximum12.86
Range12.86
Interquartile range (IQR)0.88

Descriptive statistics

Standard deviation1.265139786
Coefficient of variation (CV)2.171289912
Kurtosis19.35255302
Mean0.5826673714
Median Absolute Deviation (MAD)0
Skewness3.639014522
Sum1653.61
Variance1.600578677
MonotonicityNot monotonic
2021-08-26T06:11:05.553146image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02035
71.7%
1.1415
 
0.5%
1.3714
 
0.5%
1.6111
 
0.4%
0.8511
 
0.4%
1.2311
 
0.4%
0.9510
 
0.4%
1.2510
 
0.4%
1.0410
 
0.4%
1.419
 
0.3%
Other values (253)702
 
24.7%
ValueCountFrequency (%)
02035
71.7%
0.391
 
< 0.1%
0.442
 
0.1%
0.471
 
< 0.1%
0.522
 
0.1%
ValueCountFrequency (%)
12.861
< 0.1%
12.331
< 0.1%
11.761
< 0.1%
11.361
< 0.1%
11.221
< 0.1%

lex_liwc_ipron
Real number (ℝ≥0)

ZEROS

Distinct644
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.769020437
Minimum0
Maximum21.43
Zeros80
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:05.782725image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.3285
Q13.33
median5.36
Q37.7775
95-th percentile11.726
Maximum21.43
Range21.43
Interquartile range (IQR)4.4475

Descriptive statistics

Standard deviation3.223789703
Coefficient of variation (CV)0.5588105881
Kurtosis0.4875328544
Mean5.769020437
Median Absolute Deviation (MAD)2.17
Skewness0.6751193025
Sum16372.48
Variance10.39282005
MonotonicityNot monotonic
2021-08-26T06:11:06.004183image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
080
 
2.8%
4.5532
 
1.1%
6.6731
 
1.1%
6.2528
 
1.0%
4.7626
 
0.9%
7.1424
 
0.8%
5.2624
 
0.8%
5.8823
 
0.8%
7.6922
 
0.8%
422
 
0.8%
Other values (634)2526
89.0%
ValueCountFrequency (%)
080
2.8%
0.71
 
< 0.1%
0.781
 
< 0.1%
0.832
 
0.1%
0.851
 
< 0.1%
ValueCountFrequency (%)
21.431
< 0.1%
202
0.1%
17.951
< 0.1%
17.241
< 0.1%
17.071
< 0.1%

lex_liwc_article
Real number (ℝ≥0)

ZEROS

Distinct572
Distinct (%)20.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.937635659
Minimum0
Maximum15.53
Zeros116
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:06.219328image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1185
Q13.12
median4.76
Q36.59
95-th percentile9.52
Maximum15.53
Range15.53
Interquartile range (IQR)3.47

Descriptive statistics

Standard deviation2.611390523
Coefficient of variation (CV)0.5288746889
Kurtosis0.2675722463
Mean4.937635659
Median Absolute Deviation (MAD)1.745
Skewness0.4597134059
Sum14013.01
Variance6.819360464
MonotonicityNot monotonic
2021-08-26T06:11:06.448177image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0116
 
4.1%
4.3533
 
1.2%
6.6731
 
1.1%
531
 
1.1%
4.7630
 
1.1%
5.2630
 
1.1%
3.726
 
0.9%
5.5626
 
0.9%
3.8526
 
0.9%
5.8824
 
0.8%
Other values (562)2465
86.9%
ValueCountFrequency (%)
0116
4.1%
0.811
 
< 0.1%
0.832
 
0.1%
0.841
 
< 0.1%
0.852
 
0.1%
ValueCountFrequency (%)
15.533
0.1%
15.181
 
< 0.1%
14.521
 
< 0.1%
14.291
 
< 0.1%
14.061
 
< 0.1%

lex_liwc_prep
Real number (ℝ≥0)

Distinct737
Distinct (%)26.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.3566561
Minimum0
Maximum29.63
Zeros11
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:06.679759image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.444
Q111
median13.45
Q315.79
95-th percentile19.28
Maximum29.63
Range29.63
Interquartile range (IQR)4.79

Descriptive statistics

Standard deviation3.649961597
Coefficient of variation (CV)0.2732691154
Kurtosis0.499075086
Mean13.3566561
Median Absolute Deviation (MAD)2.34
Skewness-0.1808547583
Sum37906.19
Variance13.32221966
MonotonicityNot monotonic
2021-08-26T06:11:06.898984image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.2951
 
1.8%
12.542
 
1.5%
11.1142
 
1.5%
16.6742
 
1.5%
13.3330
 
1.1%
1526
 
0.9%
11.7623
 
0.8%
1023
 
0.8%
15.3821
 
0.7%
8.3319
 
0.7%
Other values (727)2519
88.8%
ValueCountFrequency (%)
011
0.4%
1.471
 
< 0.1%
1.921
 
< 0.1%
2.562
 
0.1%
2.71
 
< 0.1%
ValueCountFrequency (%)
29.631
 
< 0.1%
25.641
 
< 0.1%
253
0.1%
24.362
0.1%
24.071
 
< 0.1%

lex_liwc_auxverb
Real number (ℝ≥0)

Distinct743
Distinct (%)26.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.30631078
Minimum0
Maximum25
Zeros12
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:07.121218image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.707
Q17.81
median10.065
Q312.5
95-th percentile16.67
Maximum25
Range25
Interquartile range (IQR)4.69

Descriptive statistics

Standard deviation3.649750653
Coefficient of variation (CV)0.3541277505
Kurtosis0.5070277253
Mean10.30631078
Median Absolute Deviation (MAD)2.375
Skewness0.3634323008
Sum29249.31
Variance13.32067983
MonotonicityNot monotonic
2021-08-26T06:11:07.348820image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.544
 
1.6%
1042
 
1.5%
7.6936
 
1.3%
9.0935
 
1.2%
14.2927
 
1.0%
10.5327
 
1.0%
11.1126
 
0.9%
9.5226
 
0.9%
13.3323
 
0.8%
7.1422
 
0.8%
Other values (733)2530
89.1%
ValueCountFrequency (%)
012
0.4%
0.871
 
< 0.1%
0.971
 
< 0.1%
11
 
< 0.1%
1.351
 
< 0.1%
ValueCountFrequency (%)
254
0.1%
23.331
 
< 0.1%
23.161
 
< 0.1%
22.781
 
< 0.1%
22.411
 
< 0.1%

lex_liwc_adverb
Real number (ℝ≥0)

ZEROS

Distinct655
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.045852713
Minimum0
Maximum21.43
Zeros99
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:07.570748image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.247
Q13.85
median5.8
Q38
95-th percentile11.673
Maximum21.43
Range21.43
Interquartile range (IQR)4.15

Descriptive statistics

Standard deviation3.182057486
Coefficient of variation (CV)0.5263207089
Kurtosis0.6272089118
Mean6.045852713
Median Absolute Deviation (MAD)2.06
Skewness0.5472602843
Sum17158.13
Variance10.12548984
MonotonicityNot monotonic
2021-08-26T06:11:07.787567image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
099
 
3.5%
5.2639
 
1.4%
7.1435
 
1.2%
6.6731
 
1.1%
5.8829
 
1.0%
5.5626
 
0.9%
4.7625
 
0.9%
4.1724
 
0.8%
3.8524
 
0.8%
9.0924
 
0.8%
Other values (645)2482
87.5%
ValueCountFrequency (%)
099
3.5%
0.851
 
< 0.1%
0.881
 
< 0.1%
0.891
 
< 0.1%
0.952
 
0.1%
ValueCountFrequency (%)
21.431
< 0.1%
19.351
< 0.1%
19.151
< 0.1%
18.521
< 0.1%
18.461
< 0.1%

lex_liwc_conj
Real number (ℝ≥0)

ZEROS

Distinct612
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.599055673
Minimum0
Maximum20.69
Zeros39
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:08.272783image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.0725
Q15.77
median7.66
Q39.38
95-th percentile12.166
Maximum20.69
Range20.69
Interquartile range (IQR)3.61

Descriptive statistics

Standard deviation2.813244775
Coefficient of variation (CV)0.3702097861
Kurtosis0.423448294
Mean7.599055673
Median Absolute Deviation (MAD)1.79
Skewness0.04686722186
Sum21566.12
Variance7.914346165
MonotonicityNot monotonic
2021-08-26T06:11:08.491989image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.6948
 
1.7%
8.3343
 
1.5%
039
 
1.4%
9.0939
 
1.4%
6.6738
 
1.3%
7.1437
 
1.3%
1035
 
1.2%
5.8827
 
1.0%
6.2524
 
0.8%
5.2624
 
0.8%
Other values (602)2484
87.5%
ValueCountFrequency (%)
039
1.4%
1.031
 
< 0.1%
1.051
 
< 0.1%
1.141
 
< 0.1%
1.271
 
< 0.1%
ValueCountFrequency (%)
20.691
< 0.1%
19.671
< 0.1%
19.231
< 0.1%
17.861
< 0.1%
16.921
< 0.1%

lex_liwc_negate
Real number (ℝ≥0)

ZEROS

Distinct398
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.262903453
Minimum0
Maximum12.9
Zeros591
Zeros (%)20.8%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:08.706190image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.9725
median1.95
Q33.37
95-th percentile5.63
Maximum12.9
Range12.9
Interquartile range (IQR)2.3975

Descriptive statistics

Standard deviation1.894125445
Coefficient of variation (CV)0.8370332557
Kurtosis1.796768144
Mean2.262903453
Median Absolute Deviation (MAD)1.21
Skewness1.04615976
Sum6422.12
Variance3.5877112
MonotonicityNot monotonic
2021-08-26T06:11:08.937876image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0591
 
20.8%
1.3227
 
1.0%
4.7625
 
0.9%
1.5424
 
0.8%
2.6323
 
0.8%
1.8923
 
0.8%
1.5922
 
0.8%
3.1221
 
0.7%
3.4521
 
0.7%
3.5720
 
0.7%
Other values (388)2041
71.9%
ValueCountFrequency (%)
0591
20.8%
0.521
 
< 0.1%
0.582
 
0.1%
0.621
 
< 0.1%
0.631
 
< 0.1%
ValueCountFrequency (%)
12.92
0.1%
12.071
< 0.1%
11.112
0.1%
10.771
< 0.1%
10.641
< 0.1%

lex_liwc_verb
Real number (ℝ≥0)

Distinct890
Distinct (%)31.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.43129316
Minimum0
Maximum40
Zeros7
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:09.162750image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12.05
Q116.28
median19.32
Q322.41
95-th percentile27.4075
Maximum40
Range40
Interquartile range (IQR)6.13

Descriptive statistics

Standard deviation4.7696412
Coefficient of variation (CV)0.2454618517
Kurtosis0.9310293247
Mean19.43129316
Median Absolute Deviation (MAD)3.07
Skewness0.09127330111
Sum55146.01
Variance22.74947718
MonotonicityNot monotonic
2021-08-26T06:11:09.383447image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2061
 
2.1%
22.2236
 
1.3%
16.6732
 
1.1%
18.1830
 
1.1%
21.0529
 
1.0%
2528
 
1.0%
21.4324
 
0.8%
19.0523
 
0.8%
14.2923
 
0.8%
17.6523
 
0.8%
Other values (880)2529
89.1%
ValueCountFrequency (%)
07
0.2%
3.331
 
< 0.1%
41
 
< 0.1%
4.551
 
< 0.1%
5.261
 
< 0.1%
ValueCountFrequency (%)
401
< 0.1%
38.641
< 0.1%
37.51
< 0.1%
36.711
< 0.1%
36.111
< 0.1%

lex_liwc_adj
Real number (ℝ≥0)

ZEROS

Distinct562
Distinct (%)19.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.36273432
Minimum0
Maximum18.18
Zeros169
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:09.608630image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.505
median4.08
Q35.88
95-th percentile9.23
Maximum18.18
Range18.18
Interquartile range (IQR)3.375

Descriptive statistics

Standard deviation2.688371805
Coefficient of variation (CV)0.6162125877
Kurtosis1.533701124
Mean4.36273432
Median Absolute Deviation (MAD)1.64
Skewness0.8788609669
Sum12381.44
Variance7.227342961
MonotonicityNot monotonic
2021-08-26T06:11:09.830938image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0169
 
6.0%
4.7639
 
1.4%
5.2634
 
1.2%
5.5627
 
1.0%
3.4526
 
0.9%
5.8826
 
0.9%
4.5525
 
0.9%
6.2524
 
0.8%
524
 
0.8%
3.3323
 
0.8%
Other values (552)2421
85.3%
ValueCountFrequency (%)
0169
6.0%
0.621
 
< 0.1%
0.641
 
< 0.1%
0.681
 
< 0.1%
0.711
 
< 0.1%
ValueCountFrequency (%)
18.181
< 0.1%
181
< 0.1%
17.241
< 0.1%
17.021
< 0.1%
16.671
< 0.1%

lex_liwc_compare
Real number (ℝ≥0)

ZEROS

Distinct424
Distinct (%)14.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.287286822
Minimum0
Maximum15.15
Zeros613
Zeros (%)21.6%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:10.061882image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.93
median1.89
Q33.39
95-th percentile5.9715
Maximum15.15
Range15.15
Interquartile range (IQR)2.46

Descriptive statistics

Standard deviation1.99045508
Coefficient of variation (CV)0.8702253957
Kurtosis1.917281142
Mean2.287286822
Median Absolute Deviation (MAD)1.28
Skewness1.120148942
Sum6491.32
Variance3.961911424
MonotonicityNot monotonic
2021-08-26T06:11:10.282894image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0613
 
21.6%
1.5922
 
0.8%
2.6322
 
0.8%
3.1222
 
0.8%
2.3822
 
0.8%
1.6921
 
0.7%
1.5421
 
0.7%
1.5221
 
0.7%
2.721
 
0.7%
3.4520
 
0.7%
Other values (414)2033
71.6%
ValueCountFrequency (%)
0613
21.6%
0.381
 
< 0.1%
0.561
 
< 0.1%
0.591
 
< 0.1%
0.61
 
< 0.1%
ValueCountFrequency (%)
15.151
< 0.1%
11.861
< 0.1%
11.591
< 0.1%
11.431
< 0.1%
11.361
< 0.1%

lex_liwc_interrog
Real number (ℝ≥0)

ZEROS

Distinct346
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.608217054
Minimum0
Maximum17.86
Zeros844
Zeros (%)29.7%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:10.508955image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.39
Q32.44
95-th percentile4.44
Maximum17.86
Range17.86
Interquartile range (IQR)2.44

Descriptive statistics

Standard deviation1.540092328
Coefficient of variation (CV)0.9576395944
Kurtosis5.434084073
Mean1.608217054
Median Absolute Deviation (MAD)1.29
Skewness1.412438342
Sum4564.12
Variance2.371884377
MonotonicityNot monotonic
2021-08-26T06:11:10.730598image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0844
29.7%
1.4727
 
1.0%
1.3226
 
0.9%
1.6726
 
0.9%
1.4925
 
0.9%
1.2824
 
0.8%
1.3324
 
0.8%
1.5923
 
0.8%
1.5423
 
0.8%
2.6322
 
0.8%
Other values (336)1774
62.5%
ValueCountFrequency (%)
0844
29.7%
0.541
 
< 0.1%
0.551
 
< 0.1%
0.61
 
< 0.1%
0.611
 
< 0.1%
ValueCountFrequency (%)
17.861
< 0.1%
9.381
< 0.1%
9.231
< 0.1%
8.451
< 0.1%
8.111
< 0.1%

lex_liwc_number
Real number (ℝ≥0)

ZEROS

Distinct355
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.44415081
Minimum0
Maximum25
Zeros1198
Zeros (%)42.2%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:10.957442image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.03
Q32.2
95-th percentile5
Maximum25
Range25
Interquartile range (IQR)2.2

Descriptive statistics

Standard deviation1.910695303
Coefficient of variation (CV)1.323058014
Kurtosis17.74940824
Mean1.44415081
Median Absolute Deviation (MAD)1.03
Skewness2.838911221
Sum4098.5
Variance3.65075654
MonotonicityNot monotonic
2021-08-26T06:11:11.185155image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01198
42.2%
1.3222
 
0.8%
1.4120
 
0.7%
1.4718
 
0.6%
1.4917
 
0.6%
1.5917
 
0.6%
2.2716
 
0.6%
1.6916
 
0.6%
1.2815
 
0.5%
2.515
 
0.5%
Other values (345)1484
52.3%
ValueCountFrequency (%)
01198
42.2%
0.391
 
< 0.1%
0.461
 
< 0.1%
0.471
 
< 0.1%
0.521
 
< 0.1%
ValueCountFrequency (%)
251
< 0.1%
21.741
< 0.1%
16.131
< 0.1%
15.561
< 0.1%
13.041
< 0.1%

lex_liwc_quant
Real number (ℝ≥0)

ZEROS

Distinct394
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.24640592
Minimum0
Maximum11.63
Zeros524
Zeros (%)18.5%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:11.401307image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.08
median1.96
Q33.2
95-th percentile5.63
Maximum11.63
Range11.63
Interquartile range (IQR)2.12

Descriptive statistics

Standard deviation1.790212506
Coefficient of variation (CV)0.7969229829
Kurtosis1.149893342
Mean2.24640592
Median Absolute Deviation (MAD)1.03
Skewness0.938710694
Sum6375.3
Variance3.204860818
MonotonicityNot monotonic
2021-08-26T06:11:11.624899image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0524
 
18.5%
1.6726
 
0.9%
2.5624
 
0.8%
1.2824
 
0.8%
1.5924
 
0.8%
1.7223
 
0.8%
3.3922
 
0.8%
3.1222
 
0.8%
1.4722
 
0.8%
1.5221
 
0.7%
Other values (384)2106
74.2%
ValueCountFrequency (%)
0524
18.5%
0.521
 
< 0.1%
0.612
 
0.1%
0.651
 
< 0.1%
0.663
 
0.1%
ValueCountFrequency (%)
11.631
< 0.1%
10.811
< 0.1%
10.131
< 0.1%
9.841
< 0.1%
9.681
< 0.1%

lex_liwc_affect
Real number (ℝ≥0)

ZEROS

Distinct692
Distinct (%)24.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.097399577
Minimum0
Maximum37.5
Zeros69
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:11.842896image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.32
Q13.57
median5.56
Q38
95-th percentile12.415
Maximum37.5
Range37.5
Interquartile range (IQR)4.43

Descriptive statistics

Standard deviation3.530976753
Coefficient of variation (CV)0.5790955158
Kurtosis3.252107061
Mean6.097399577
Median Absolute Deviation (MAD)2.195
Skewness1.07157242
Sum17304.42
Variance12.46779683
MonotonicityNot monotonic
2021-08-26T06:11:12.061400image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
069
 
2.4%
5.2632
 
1.1%
5.5630
 
1.1%
530
 
1.1%
7.1427
 
1.0%
8.3327
 
1.0%
3.5727
 
1.0%
4.7625
 
0.9%
9.0922
 
0.8%
1021
 
0.7%
Other values (682)2528
89.1%
ValueCountFrequency (%)
069
2.4%
0.761
 
< 0.1%
0.833
 
0.1%
0.852
 
0.1%
0.881
 
< 0.1%
ValueCountFrequency (%)
37.51
< 0.1%
26.321
< 0.1%
23.081
< 0.1%
22.222
0.1%
20.691
< 0.1%

lex_liwc_posemo
Real number (ℝ≥0)

ZEROS

Distinct497
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.69786117
Minimum0
Maximum20
Zeros588
Zeros (%)20.7%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:12.291785image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.9625
median2.17
Q33.9
95-th percentile7.533
Maximum20
Range20
Interquartile range (IQR)2.9375

Descriptive statistics

Standard deviation2.541303757
Coefficient of variation (CV)0.9419698039
Kurtosis3.410771944
Mean2.69786117
Median Absolute Deviation (MAD)1.44
Skewness1.497574161
Sum7656.53
Variance6.458224786
MonotonicityNot monotonic
2021-08-26T06:11:12.516526image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0588
 
20.7%
3.0323
 
0.8%
2.9422
 
0.8%
2.2719
 
0.7%
1.3319
 
0.7%
1.6918
 
0.6%
1.5418
 
0.6%
1.3717
 
0.6%
2.5617
 
0.6%
2.516
 
0.6%
Other values (487)2081
73.3%
ValueCountFrequency (%)
0588
20.7%
0.391
 
< 0.1%
0.532
 
0.1%
0.572
 
0.1%
0.61
 
< 0.1%
ValueCountFrequency (%)
201
< 0.1%
17.951
< 0.1%
17.571
< 0.1%
151
< 0.1%
14.291
< 0.1%

lex_liwc_negemo
Real number (ℝ≥0)

ZEROS

Distinct555
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.304732206
Minimum0
Maximum37.5
Zeros528
Zeros (%)18.6%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:12.711120image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.14
median2.7
Q34.84
95-th percentile8.99
Maximum37.5
Range37.5
Interquartile range (IQR)3.7

Descriptive statistics

Standard deviation3.021693458
Coefficient of variation (CV)0.9143534996
Kurtosis8.307727159
Mean3.304732206
Median Absolute Deviation (MAD)1.78
Skewness1.741514437
Sum9378.83
Variance9.130631352
MonotonicityNot monotonic
2021-08-26T06:11:12.892254image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0528
 
18.6%
4.5520
 
0.7%
520
 
0.7%
3.3320
 
0.7%
3.719
 
0.7%
2.5618
 
0.6%
2.3318
 
0.6%
4.2318
 
0.6%
2.3817
 
0.6%
2.7817
 
0.6%
Other values (545)2143
75.5%
ValueCountFrequency (%)
0528
18.6%
0.581
 
< 0.1%
0.591
 
< 0.1%
0.61
 
< 0.1%
0.612
 
0.1%
ValueCountFrequency (%)
37.51
< 0.1%
26.321
< 0.1%
22.221
< 0.1%
19.231
< 0.1%
16.951
< 0.1%

lex_liwc_anx
Real number (ℝ≥0)

ZEROS

Distinct298
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9141966173
Minimum0
Maximum25
Zeros1632
Zeros (%)57.5%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:13.079850image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.45
95-th percentile3.816
Maximum25
Range25
Interquartile range (IQR)1.45

Descriptive statistics

Standard deviation1.46860549
Coefficient of variation (CV)1.606443803
Kurtosis29.51997125
Mean0.9141966173
Median Absolute Deviation (MAD)0
Skewness3.323767562
Sum2594.49
Variance2.156802086
MonotonicityNot monotonic
2021-08-26T06:11:13.273892image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01632
57.5%
1.4719
 
0.7%
1.2817
 
0.6%
1.8517
 
0.6%
1.6916
 
0.6%
1.7515
 
0.5%
1.1414
 
0.5%
1.5914
 
0.5%
1.5414
 
0.5%
1.5613
 
0.5%
Other values (288)1067
37.6%
ValueCountFrequency (%)
01632
57.5%
0.321
 
< 0.1%
0.381
 
< 0.1%
0.461
 
< 0.1%
0.561
 
< 0.1%
ValueCountFrequency (%)
251
< 0.1%
11.291
< 0.1%
101
< 0.1%
9.521
< 0.1%
9.091
< 0.1%

lex_liwc_anger
Real number (ℝ≥0)

ZEROS

Distinct293
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.928534179
Minimum0
Maximum15.79
Zeros1611
Zeros (%)56.8%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:13.463233image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.47
95-th percentile3.8545
Maximum15.79
Range15.79
Interquartile range (IQR)1.47

Descriptive statistics

Standard deviation1.447357358
Coefficient of variation (CV)1.558755069
Kurtosis10.09193113
Mean0.928534179
Median Absolute Deviation (MAD)0
Skewness2.456952643
Sum2635.18
Variance2.094843321
MonotonicityNot monotonic
2021-08-26T06:11:13.655909image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01611
56.8%
1.4118
 
0.6%
1.6716
 
0.6%
1.4316
 
0.6%
1.2816
 
0.6%
1.5615
 
0.5%
2.2715
 
0.5%
1.2314
 
0.5%
1.1414
 
0.5%
1.6413
 
0.5%
Other values (283)1090
38.4%
ValueCountFrequency (%)
01611
56.8%
0.371
 
< 0.1%
0.511
 
< 0.1%
0.523
 
0.1%
0.531
 
< 0.1%
ValueCountFrequency (%)
15.791
< 0.1%
11.631
< 0.1%
11.541
< 0.1%
10.811
< 0.1%
9.521
< 0.1%

lex_liwc_sad
Real number (ℝ≥0)

ZEROS

Distinct236
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.598453136
Minimum0
Maximum12.5
Zeros1880
Zeros (%)66.2%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:13.848015image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.05
95-th percentile2.7315
Maximum12.5
Range12.5
Interquartile range (IQR)1.05

Descriptive statistics

Standard deviation1.093827252
Coefficient of variation (CV)1.827757574
Kurtosis14.59318573
Mean0.598453136
Median Absolute Deviation (MAD)0
Skewness2.938740832
Sum1698.41
Variance1.196458058
MonotonicityNot monotonic
2021-08-26T06:11:14.045392image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01880
66.2%
0.7915
 
0.5%
1.3715
 
0.5%
1.4914
 
0.5%
1.2314
 
0.5%
1.7214
 
0.5%
1.3313
 
0.5%
1.1813
 
0.5%
1.6913
 
0.5%
1.5913
 
0.5%
Other values (226)834
29.4%
ValueCountFrequency (%)
01880
66.2%
0.341
 
< 0.1%
0.391
 
< 0.1%
0.41
 
< 0.1%
0.441
 
< 0.1%
ValueCountFrequency (%)
12.51
< 0.1%
11.111
< 0.1%
10.531
< 0.1%
7.251
< 0.1%
6.741
< 0.1%

lex_liwc_social
Real number (ℝ≥0)

ZEROS

Distinct984
Distinct (%)34.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.8275229
Minimum0
Maximum37.76
Zeros89
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:14.231131image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.39
Q15.815
median10.285
Q315.1275
95-th percentile22.113
Maximum37.76
Range37.76
Interquartile range (IQR)9.3125

Descriptive statistics

Standard deviation6.513339077
Coefficient of variation (CV)0.6015539413
Kurtosis-0.04271329335
Mean10.8275229
Median Absolute Deviation (MAD)4.66
Skewness0.4994284565
Sum30728.51
Variance42.42358593
MonotonicityNot monotonic
2021-08-26T06:11:14.412266image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
089
 
3.1%
9.0927
 
1.0%
14.2924
 
0.8%
12.522
 
0.8%
16.6718
 
0.6%
6.6717
 
0.6%
5.8816
 
0.6%
7.1416
 
0.6%
1016
 
0.6%
13.3316
 
0.6%
Other values (974)2577
90.8%
ValueCountFrequency (%)
089
3.1%
0.631
 
< 0.1%
0.741
 
< 0.1%
0.771
 
< 0.1%
0.791
 
< 0.1%
ValueCountFrequency (%)
37.761
< 0.1%
37.311
< 0.1%
35.91
< 0.1%
33.821
< 0.1%
32.261
< 0.1%

lex_liwc_family
Real number (ℝ≥0)

ZEROS

Distinct291
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7452114165
Minimum0
Maximum17.95
Zeros1954
Zeros (%)68.9%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:14.603432image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.1
95-th percentile3.7105
Maximum17.95
Range17.95
Interquartile range (IQR)1.1

Descriptive statistics

Standard deviation1.492163742
Coefficient of variation (CV)2.002336128
Kurtosis13.6665495
Mean0.7452114165
Median Absolute Deviation (MAD)0
Skewness3.026905815
Sum2114.91
Variance2.226552634
MonotonicityNot monotonic
2021-08-26T06:11:15.140546image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01954
68.9%
1.4111
 
0.4%
1.3711
 
0.4%
1.4911
 
0.4%
0.8511
 
0.4%
1.1411
 
0.4%
1.1611
 
0.4%
1.6711
 
0.4%
1.3310
 
0.4%
1.1910
 
0.4%
Other values (281)787
27.7%
ValueCountFrequency (%)
01954
68.9%
0.371
 
< 0.1%
0.381
 
< 0.1%
0.391
 
< 0.1%
0.461
 
< 0.1%
ValueCountFrequency (%)
17.951
< 0.1%
11.111
< 0.1%
101
< 0.1%
9.461
< 0.1%
9.431
< 0.1%

lex_liwc_friend
Real number (ℝ≥0)

ZEROS

Distinct236
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5552325581
Minimum0
Maximum10.28
Zeros1968
Zeros (%)69.3%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:15.339477image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.99
95-th percentile2.67
Maximum10.28
Range10.28
Interquartile range (IQR)0.99

Descriptive statistics

Standard deviation1.049492651
Coefficient of variation (CV)1.890185717
Kurtosis9.5015346
Mean0.5552325581
Median Absolute Deviation (MAD)0
Skewness2.624813355
Sum1575.75
Variance1.101434824
MonotonicityNot monotonic
2021-08-26T06:11:15.545530image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01968
69.3%
1.3217
 
0.6%
1.2813
 
0.5%
1.4113
 
0.5%
0.9512
 
0.4%
1.8912
 
0.4%
1.1412
 
0.4%
1.6112
 
0.4%
0.7912
 
0.4%
1.7212
 
0.4%
Other values (226)755
 
26.6%
ValueCountFrequency (%)
01968
69.3%
0.321
 
< 0.1%
0.381
 
< 0.1%
0.392
 
0.1%
0.461
 
< 0.1%
ValueCountFrequency (%)
10.281
< 0.1%
7.951
< 0.1%
7.461
< 0.1%
6.851
< 0.1%
6.761
< 0.1%

lex_liwc_female
Real number (ℝ≥0)

ZEROS

Distinct448
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.576613813
Minimum0
Maximum18.06
Zeros1826
Zeros (%)64.3%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:15.727571image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.89
95-th percentile8.2705
Maximum18.06
Range18.06
Interquartile range (IQR)1.89

Descriptive statistics

Standard deviation2.885097364
Coefficient of variation (CV)1.829932823
Kurtosis4.459820974
Mean1.576613813
Median Absolute Deviation (MAD)0
Skewness2.150419651
Sum4474.43
Variance8.323786803
MonotonicityNot monotonic
2021-08-26T06:11:15.906735image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01826
64.3%
7.1411
 
0.4%
1.4710
 
0.4%
6.679
 
0.3%
1.288
 
0.3%
5.268
 
0.3%
3.338
 
0.3%
1.148
 
0.3%
5.137
 
0.2%
1.327
 
0.2%
Other values (438)936
33.0%
ValueCountFrequency (%)
01826
64.3%
0.371
 
< 0.1%
0.511
 
< 0.1%
0.561
 
< 0.1%
0.61
 
< 0.1%
ValueCountFrequency (%)
18.061
< 0.1%
18.031
< 0.1%
16.071
< 0.1%
15.871
< 0.1%
14.892
0.1%

lex_liwc_male
Real number (ℝ≥0)

ZEROS

Distinct494
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.97687456
Minimum0
Maximum19.4
Zeros1585
Zeros (%)55.8%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:16.095858image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33.03
95-th percentile8.6575
Maximum19.4
Range19.4
Interquartile range (IQR)3.03

Descriptive statistics

Standard deviation3.110800654
Coefficient of variation (CV)1.57359537
Kurtosis3.106577944
Mean1.97687456
Median Absolute Deviation (MAD)0
Skewness1.808827023
Sum5610.37
Variance9.677080711
MonotonicityNot monotonic
2021-08-26T06:11:16.294345image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01585
55.8%
4.7618
 
0.6%
1.3312
 
0.4%
1.4712
 
0.4%
1.4111
 
0.4%
1.3210
 
0.4%
2.6310
 
0.4%
5.2610
 
0.4%
4.5510
 
0.4%
410
 
0.4%
Other values (484)1150
40.5%
ValueCountFrequency (%)
01585
55.8%
0.431
 
< 0.1%
0.461
 
< 0.1%
0.531
 
< 0.1%
0.571
 
< 0.1%
ValueCountFrequency (%)
19.41
< 0.1%
19.151
< 0.1%
19.121
< 0.1%
18.421
< 0.1%
17.391
< 0.1%

lex_liwc_cogproc
Real number (ℝ≥0)

Distinct929
Distinct (%)32.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.59496124
Minimum0
Maximum37.5
Zeros9
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:16.528138image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.41
Q19.84
median13.27
Q317.0425
95-th percentile22.73
Maximum37.5
Range37.5
Interquartile range (IQR)7.2025

Descriptive statistics

Standard deviation5.331449021
Coefficient of variation (CV)0.3921636058
Kurtosis0.3392053511
Mean13.59496124
Median Absolute Deviation (MAD)3.59
Skewness0.4124025995
Sum38582.5
Variance28.42434866
MonotonicityNot monotonic
2021-08-26T06:11:16.750345image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.1142
 
1.5%
14.2935
 
1.2%
16.6735
 
1.2%
12.525
 
0.9%
2024
 
0.8%
9.0922
 
0.8%
7.6922
 
0.8%
1019
 
0.7%
13.3319
 
0.7%
15.3818
 
0.6%
Other values (919)2577
90.8%
ValueCountFrequency (%)
09
0.3%
1.142
 
0.1%
1.891
 
< 0.1%
1.91
 
< 0.1%
2.041
 
< 0.1%
ValueCountFrequency (%)
37.51
< 0.1%
36.541
< 0.1%
34.521
< 0.1%
34.151
< 0.1%
33.91
< 0.1%

lex_liwc_insight
Real number (ℝ≥0)

ZEROS

Distinct461
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.855109232
Minimum0
Maximum13.24
Zeros433
Zeros (%)15.3%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:16.989182image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.25
median2.48
Q34.1375
95-th percentile7.14
Maximum13.24
Range13.24
Interquartile range (IQR)2.8875

Descriptive statistics

Standard deviation2.249446109
Coefficient of variation (CV)0.7878669171
Kurtosis0.9447872882
Mean2.855109232
Median Absolute Deviation (MAD)1.37
Skewness0.9378131915
Sum8102.8
Variance5.060007796
MonotonicityNot monotonic
2021-08-26T06:11:17.204264image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0433
 
15.3%
3.5725
 
0.9%
3.4523
 
0.8%
5.2623
 
0.8%
522
 
0.8%
1.4122
 
0.8%
3.1721
 
0.7%
4.7621
 
0.7%
3.0320
 
0.7%
3.3320
 
0.7%
Other values (451)2208
77.8%
ValueCountFrequency (%)
0433
15.3%
0.551
 
< 0.1%
0.561
 
< 0.1%
0.61
 
< 0.1%
0.611
 
< 0.1%
ValueCountFrequency (%)
13.241
< 0.1%
12.662
0.1%
12.331
< 0.1%
12.071
< 0.1%
121
< 0.1%

lex_liwc_cause
Real number (ℝ≥0)

ZEROS

Distinct369
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.726441156
Minimum0
Maximum12.5
Zeros844
Zeros (%)29.7%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:17.427535image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.43
Q32.68
95-th percentile4.7645
Maximum12.5
Range12.5
Interquartile range (IQR)2.68

Descriptive statistics

Standard deviation1.658240045
Coefficient of variation (CV)0.960496128
Kurtosis2.48698623
Mean1.726441156
Median Absolute Deviation (MAD)1.43
Skewness1.211160342
Sum4899.64
Variance2.749760048
MonotonicityNot monotonic
2021-08-26T06:11:17.665354image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0844
29.7%
1.3229
 
1.0%
1.3324
 
0.8%
1.4921
 
0.7%
2.5621
 
0.7%
1.5220
 
0.7%
1.5920
 
0.7%
1.5420
 
0.7%
1.2820
 
0.7%
3.0319
 
0.7%
Other values (359)1800
63.4%
ValueCountFrequency (%)
0844
29.7%
0.471
 
< 0.1%
0.522
 
0.1%
0.531
 
< 0.1%
0.581
 
< 0.1%
ValueCountFrequency (%)
12.51
< 0.1%
11.542
0.1%
10.711
< 0.1%
10.531
< 0.1%
9.521
< 0.1%

lex_liwc_discrep
Real number (ℝ≥0)

ZEROS

Distinct400
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.947184637
Minimum0
Maximum12.5
Zeros809
Zeros (%)28.5%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:17.887787image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.52
Q32.94
95-th percentile5.67
Maximum12.5
Range12.5
Interquartile range (IQR)2.94

Descriptive statistics

Standard deviation1.940629411
Coefficient of variation (CV)0.9966334852
Kurtosis2.308370726
Mean1.947184637
Median Absolute Deviation (MAD)1.52
Skewness1.328431476
Sum5526.11
Variance3.766042512
MonotonicityNot monotonic
2021-08-26T06:11:18.124681image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0809
28.5%
1.3227
 
1.0%
1.5924
 
0.8%
1.5222
 
0.8%
2.7820
 
0.7%
1.4719
 
0.7%
1.4919
 
0.7%
3.0319
 
0.7%
1.3719
 
0.7%
1.6919
 
0.7%
Other values (390)1841
64.9%
ValueCountFrequency (%)
0809
28.5%
0.41
 
< 0.1%
0.481
 
< 0.1%
0.521
 
< 0.1%
0.541
 
< 0.1%
ValueCountFrequency (%)
12.52
0.1%
11.761
< 0.1%
11.431
< 0.1%
10.531
< 0.1%
10.451
< 0.1%

lex_liwc_tentat
Real number (ℝ≥0)

ZEROS

Distinct521
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.324756871
Minimum0
Maximum16.67
Zeros360
Zeros (%)12.7%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:18.352533image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.45
median2.93
Q34.76
95-th percentile7.95
Maximum16.67
Range16.67
Interquartile range (IQR)3.31

Descriptive statistics

Standard deviation2.545349016
Coefficient of variation (CV)0.7655744811
Kurtosis1.761689675
Mean3.324756871
Median Absolute Deviation (MAD)1.62
Skewness1.068067464
Sum9435.66
Variance6.478801615
MonotonicityNot monotonic
2021-08-26T06:11:18.576257image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0360
 
12.7%
4.7633
 
1.2%
4.5527
 
1.0%
424
 
0.8%
5.8822
 
0.8%
2.6322
 
0.8%
1.5421
 
0.7%
2.9421
 
0.7%
3.4520
 
0.7%
4.1720
 
0.7%
Other values (511)2268
79.9%
ValueCountFrequency (%)
0360
12.7%
0.531
 
< 0.1%
0.591
 
< 0.1%
0.611
 
< 0.1%
0.621
 
< 0.1%
ValueCountFrequency (%)
16.671
< 0.1%
15.961
< 0.1%
15.521
< 0.1%
15.381
< 0.1%
14.631
< 0.1%

lex_liwc_certain
Real number (ℝ≥0)

ZEROS

Distinct342
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.544270613
Minimum0
Maximum11.86
Zeros932
Zeros (%)32.8%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:18.810944image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.28
Q32.4
95-th percentile4.62
Maximum11.86
Range11.86
Interquartile range (IQR)2.4

Descriptive statistics

Standard deviation1.589927366
Coefficient of variation (CV)1.029565254
Kurtosis2.666798921
Mean1.544270613
Median Absolute Deviation (MAD)1.28
Skewness1.359561439
Sum4382.64
Variance2.527869031
MonotonicityNot monotonic
2021-08-26T06:11:19.040891image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0932
32.8%
1.5926
 
0.9%
2.5624
 
0.8%
1.5422
 
0.8%
1.7922
 
0.8%
1.4922
 
0.8%
1.4720
 
0.7%
1.8520
 
0.7%
1.1219
 
0.7%
2.7819
 
0.7%
Other values (332)1712
60.3%
ValueCountFrequency (%)
0932
32.8%
0.341
 
< 0.1%
0.391
 
< 0.1%
0.461
 
< 0.1%
0.521
 
< 0.1%
ValueCountFrequency (%)
11.861
< 0.1%
9.761
< 0.1%
9.41
< 0.1%
9.32
0.1%
9.091
< 0.1%

lex_liwc_differ
Real number (ℝ≥0)

ZEROS

Distinct531
Distinct (%)18.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.971930937
Minimum0
Maximum18.42
Zeros242
Zeros (%)8.5%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:19.244539image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.17
median3.73
Q35.47
95-th percentile8.573
Maximum18.42
Range18.42
Interquartile range (IQR)3.3

Descriptive statistics

Standard deviation2.539887134
Coefficient of variation (CV)0.6394590375
Kurtosis1.172840572
Mean3.971930937
Median Absolute Deviation (MAD)1.63
Skewness0.7610436226
Sum11272.34
Variance6.451026654
MonotonicityNot monotonic
2021-08-26T06:11:19.424491image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0242
 
8.5%
5.2632
 
1.1%
4.7631
 
1.1%
4.3531
 
1.1%
3.728
 
1.0%
3.3327
 
1.0%
3.8527
 
1.0%
3.4525
 
0.9%
525
 
0.9%
5.8824
 
0.8%
Other values (521)2346
82.7%
ValueCountFrequency (%)
0242
8.5%
0.531
 
< 0.1%
0.661
 
< 0.1%
0.731
 
< 0.1%
0.741
 
< 0.1%
ValueCountFrequency (%)
18.421
< 0.1%
17.021
< 0.1%
16.671
< 0.1%
15.091
< 0.1%
14.11
< 0.1%

lex_liwc_percept
Real number (ℝ≥0)

ZEROS

Distinct433
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.246959126
Minimum0
Maximum22.22
Zeros681
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:19.613177image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.7425
median1.72
Q33.23
95-th percentile6.52
Maximum22.22
Range22.22
Interquartile range (IQR)2.4875

Descriptive statistics

Standard deviation2.170751569
Coefficient of variation (CV)0.9660841374
Kurtosis5.284285004
Mean2.246959126
Median Absolute Deviation (MAD)1.45
Skewness1.640560141
Sum6376.87
Variance4.712162375
MonotonicityNot monotonic
2021-08-26T06:11:19.791133image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0681
 
24.0%
2.6323
 
0.8%
2.3323
 
0.8%
1.4922
 
0.8%
1.3221
 
0.7%
1.5221
 
0.7%
3.5721
 
0.7%
1.2820
 
0.7%
1.6719
 
0.7%
1.5919
 
0.7%
Other values (423)1968
69.3%
ValueCountFrequency (%)
0681
24.0%
0.51
 
< 0.1%
0.521
 
< 0.1%
0.571
 
< 0.1%
0.611
 
< 0.1%
ValueCountFrequency (%)
22.221
< 0.1%
16.281
< 0.1%
14.291
< 0.1%
13.331
< 0.1%
12.961
< 0.1%

lex_liwc_see
Real number (ℝ≥0)

ZEROS

Distinct232
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5731148696
Minimum0
Maximum10.87
Zeros1923
Zeros (%)67.8%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:19.973065image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.03
95-th percentile2.6
Maximum10.87
Range10.87
Interquartile range (IQR)1.03

Descriptive statistics

Standard deviation1.099521103
Coefficient of variation (CV)1.918500394
Kurtosis16.10645174
Mean0.5731148696
Median Absolute Deviation (MAD)0
Skewness3.229645802
Sum1626.5
Variance1.208946657
MonotonicityNot monotonic
2021-08-26T06:11:20.165208image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01923
67.8%
1.3222
 
0.8%
1.3719
 
0.7%
1.4115
 
0.5%
1.5414
 
0.5%
0.7913
 
0.5%
1.2813
 
0.5%
1.5913
 
0.5%
1.4713
 
0.5%
1.0513
 
0.5%
Other values (222)780
27.5%
ValueCountFrequency (%)
01923
67.8%
0.442
 
0.1%
0.461
 
< 0.1%
0.472
 
0.1%
0.522
 
0.1%
ValueCountFrequency (%)
10.871
< 0.1%
10.391
< 0.1%
101
< 0.1%
9.881
< 0.1%
9.381
< 0.1%

lex_liwc_hear
Real number (ℝ≥0)

ZEROS

Distinct244
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6136293164
Minimum0
Maximum9.43
Zeros1901
Zeros (%)67.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:20.349945image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.05
95-th percentile2.94
Maximum9.43
Range9.43
Interquartile range (IQR)1.05

Descriptive statistics

Standard deviation1.125805617
Coefficient of variation (CV)1.83466726
Kurtosis8.947659841
Mean0.6136293164
Median Absolute Deviation (MAD)0
Skewness2.584218565
Sum1741.48
Variance1.267438286
MonotonicityNot monotonic
2021-08-26T06:11:20.531138image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01901
67.0%
1.5918
 
0.6%
1.6914
 
0.5%
1.5414
 
0.5%
1.5213
 
0.5%
1.4712
 
0.4%
1.1212
 
0.4%
1.2812
 
0.4%
1.4912
 
0.4%
1.1612
 
0.4%
Other values (234)818
28.8%
ValueCountFrequency (%)
01901
67.0%
0.382
 
0.1%
0.441
 
< 0.1%
0.462
 
0.1%
0.51
 
< 0.1%
ValueCountFrequency (%)
9.431
< 0.1%
8.911
< 0.1%
8.331
< 0.1%
7.841
< 0.1%
7.551
< 0.1%

lex_liwc_feel
Real number (ℝ≥0)

ZEROS

Distinct282
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9121634954
Minimum0
Maximum22.22
Zeros1587
Zeros (%)55.9%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:20.713382image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.43
95-th percentile3.66
Maximum22.22
Range22.22
Interquartile range (IQR)1.43

Descriptive statistics

Standard deviation1.455629902
Coefficient of variation (CV)1.595799338
Kurtosis24.24343189
Mean0.9121634954
Median Absolute Deviation (MAD)0
Skewness3.300434683
Sum2588.72
Variance2.118858412
MonotonicityNot monotonic
2021-08-26T06:11:20.902248image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01587
55.9%
1.3222
 
0.8%
1.2818
 
0.6%
1.1418
 
0.6%
1.5618
 
0.6%
1.5917
 
0.6%
1.3315
 
0.5%
1.3915
 
0.5%
1.3715
 
0.5%
1.2215
 
0.5%
Other values (272)1098
38.7%
ValueCountFrequency (%)
01587
55.9%
0.381
 
< 0.1%
0.41
 
< 0.1%
0.461
 
< 0.1%
0.481
 
< 0.1%
ValueCountFrequency (%)
22.221
< 0.1%
13.951
< 0.1%
12.51
< 0.1%
11.112
0.1%
9.091
< 0.1%

lex_liwc_bio
Real number (ℝ≥0)

ZEROS

Distinct494
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.610676533
Minimum0
Maximum44.44
Zeros690
Zeros (%)24.3%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:21.085999image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.69
median1.96
Q33.7575
95-th percentile7.5
Maximum44.44
Range44.44
Interquartile range (IQR)3.0675

Descriptive statistics

Standard deviation2.831603042
Coefficient of variation (CV)1.084624237
Kurtosis26.02400421
Mean2.610676533
Median Absolute Deviation (MAD)1.74
Skewness3.132599589
Sum7409.1
Variance8.017975785
MonotonicityNot monotonic
2021-08-26T06:11:21.266480image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0690
 
24.3%
1.5925
 
0.9%
2.522
 
0.8%
3.720
 
0.7%
2.3319
 
0.7%
1.4319
 
0.7%
1.4718
 
0.6%
3.0817
 
0.6%
1.0517
 
0.6%
2.0416
 
0.6%
Other values (484)1975
69.6%
ValueCountFrequency (%)
0690
24.3%
0.441
 
< 0.1%
0.491
 
< 0.1%
0.561
 
< 0.1%
0.571
 
< 0.1%
ValueCountFrequency (%)
44.441
< 0.1%
33.331
< 0.1%
23.641
< 0.1%
22.221
< 0.1%
21.541
< 0.1%

lex_liwc_body
Real number (ℝ≥0)

ZEROS

Distinct275
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7085835095
Minimum0
Maximum21.11
Zeros1930
Zeros (%)68.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:21.451391image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.0875
95-th percentile3.4545
Maximum21.11
Range21.11
Interquartile range (IQR)1.0875

Descriptive statistics

Standard deviation1.454079418
Coefficient of variation (CV)2.052093223
Kurtosis25.22018775
Mean0.7085835095
Median Absolute Deviation (MAD)0
Skewness3.802073163
Sum2010.96
Variance2.114346953
MonotonicityNot monotonic
2021-08-26T06:11:21.633032image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01930
68.0%
1.5916
 
0.6%
1.4314
 
0.5%
1.6113
 
0.5%
1.4112
 
0.4%
1.5412
 
0.4%
1.3211
 
0.4%
1.2811
 
0.4%
1.111
 
0.4%
1.6910
 
0.4%
Other values (265)798
28.1%
ValueCountFrequency (%)
01930
68.0%
0.381
 
< 0.1%
0.42
 
0.1%
0.511
 
< 0.1%
0.522
 
0.1%
ValueCountFrequency (%)
21.111
< 0.1%
12.241
< 0.1%
12.121
< 0.1%
121
< 0.1%
11.481
< 0.1%

lex_liwc_health
Real number (ℝ≥0)

ZEROS

Distinct343
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.246800564
Minimum0
Maximum13.11
Zeros1384
Zeros (%)48.8%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:21.808236image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.7
Q31.82
95-th percentile4.76
Maximum13.11
Range13.11
Interquartile range (IQR)1.82

Descriptive statistics

Standard deviation1.77631495
Coefficient of variation (CV)1.424698545
Kurtosis6.319221638
Mean1.246800564
Median Absolute Deviation (MAD)0.7
Skewness2.168921756
Sum3538.42
Variance3.155294801
MonotonicityNot monotonic
2021-08-26T06:11:22.002624image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01384
48.8%
1.5922
 
0.8%
1.4318
 
0.6%
1.7217
 
0.6%
1.2316
 
0.6%
1.5216
 
0.6%
1.0516
 
0.6%
1.5615
 
0.5%
1.1815
 
0.5%
2.2715
 
0.5%
Other values (333)1304
45.9%
ValueCountFrequency (%)
01384
48.8%
0.391
 
< 0.1%
0.431
 
< 0.1%
0.441
 
< 0.1%
0.471
 
< 0.1%
ValueCountFrequency (%)
13.111
< 0.1%
12.241
< 0.1%
12.091
< 0.1%
11.861
< 0.1%
11.111
< 0.1%

lex_liwc_sexual
Real number (ℝ≥0)

ZEROS

Distinct161
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2141085271
Minimum0
Maximum7.34
Zeros2477
Zeros (%)87.3%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:22.186199image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.52
Maximum7.34
Range7.34
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6856049701
Coefficient of variation (CV)3.202137623
Kurtosis27.61320711
Mean0.2141085271
Median Absolute Deviation (MAD)0
Skewness4.599440344
Sum607.64
Variance0.470054175
MonotonicityNot monotonic
2021-08-26T06:11:22.390934image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02477
87.3%
1.329
 
0.3%
1.288
 
0.3%
1.257
 
0.2%
1.597
 
0.2%
1.187
 
0.2%
1.237
 
0.2%
1.116
 
0.2%
1.26
 
0.2%
1.376
 
0.2%
Other values (151)298
 
10.5%
ValueCountFrequency (%)
02477
87.3%
0.371
 
< 0.1%
0.391
 
< 0.1%
0.41
 
< 0.1%
0.431
 
< 0.1%
ValueCountFrequency (%)
7.341
< 0.1%
6.821
< 0.1%
6.491
< 0.1%
6.351
< 0.1%
6.131
< 0.1%

lex_liwc_ingest
Real number (ℝ≥0)

ZEROS

Distinct202
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4054474982
Minimum0
Maximum33.33
Zeros2318
Zeros (%)81.7%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:22.621773image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.4615
Maximum33.33
Range33.33
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.350558754
Coefficient of variation (CV)3.331032401
Kurtosis179.0975546
Mean0.4054474982
Median Absolute Deviation (MAD)0
Skewness10.06377539
Sum1150.66
Variance1.824008947
MonotonicityNot monotonic
2021-08-26T06:11:23.284894image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02318
81.7%
0.7910
 
0.4%
1.149
 
0.3%
1.29
 
0.3%
1.169
 
0.3%
1.478
 
0.3%
1.338
 
0.3%
1.598
 
0.3%
1.497
 
0.2%
3.577
 
0.2%
Other values (192)445
 
15.7%
ValueCountFrequency (%)
02318
81.7%
0.371
 
< 0.1%
0.381
 
< 0.1%
0.391
 
< 0.1%
0.431
 
< 0.1%
ValueCountFrequency (%)
33.331
< 0.1%
22.221
< 0.1%
21.821
< 0.1%
12.51
< 0.1%
10.772
0.1%

lex_liwc_drives
Real number (ℝ≥0)

ZEROS

Distinct741
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.885211416
Minimum0
Maximum37.5
Zeros42
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:23.503348image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.44
Q15.175
median7.41
Q310.1975
95-th percentile14.8205
Maximum37.5
Range37.5
Interquartile range (IQR)5.0225

Descriptive statistics

Standard deviation3.884363365
Coefficient of variation (CV)0.4926137246
Kurtosis1.886146078
Mean7.885211416
Median Absolute Deviation (MAD)2.45
Skewness0.8135451999
Sum22378.23
Variance15.08827875
MonotonicityNot monotonic
2021-08-26T06:11:23.722257image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
042
 
1.5%
11.1138
 
1.3%
6.6734
 
1.2%
7.1431
 
1.1%
8.3330
 
1.1%
5.2630
 
1.1%
5.5629
 
1.0%
12.528
 
1.0%
9.0928
 
1.0%
7.6926
 
0.9%
Other values (731)2522
88.9%
ValueCountFrequency (%)
042
1.5%
1.011
 
< 0.1%
1.031
 
< 0.1%
1.041
 
< 0.1%
1.051
 
< 0.1%
ValueCountFrequency (%)
37.51
< 0.1%
27.661
< 0.1%
25.641
< 0.1%
251
< 0.1%
23.881
< 0.1%

lex_liwc_affiliation
Real number (ℝ≥0)

ZEROS

Distinct512
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.737364341
Minimum0
Maximum23.08
Zeros737
Zeros (%)26.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:23.942739image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.915
Q34.05
95-th percentile8.649
Maximum23.08
Range23.08
Interquartile range (IQR)4.05

Descriptive statistics

Standard deviation2.901505783
Coefficient of variation (CV)1.059963316
Kurtosis4.056358278
Mean2.737364341
Median Absolute Deviation (MAD)1.915
Skewness1.667299028
Sum7768.64
Variance8.418735807
MonotonicityNot monotonic
2021-08-26T06:11:24.164021image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0737
 
26.0%
2.5620
 
0.7%
5.2618
 
0.6%
1.4118
 
0.6%
1.5917
 
0.6%
5.8817
 
0.6%
4.7616
 
0.6%
4.3516
 
0.6%
1.7216
 
0.6%
1.8915
 
0.5%
Other values (502)1948
68.6%
ValueCountFrequency (%)
0737
26.0%
0.591
 
< 0.1%
0.62
 
0.1%
0.612
 
0.1%
0.621
 
< 0.1%
ValueCountFrequency (%)
23.081
< 0.1%
21.281
< 0.1%
19.441
< 0.1%
19.051
< 0.1%
18.421
< 0.1%

lex_liwc_achieve
Real number (ℝ≥0)

ZEROS

Distinct331
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.372811839
Minimum0
Maximum16.67
Zeros1064
Zeros (%)37.5%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:24.381096image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.12
Q32.04
95-th percentile4.4
Maximum16.67
Range16.67
Interquartile range (IQR)2.04

Descriptive statistics

Standard deviation1.578778721
Coefficient of variation (CV)1.150032856
Kurtosis7.237125848
Mean1.372811839
Median Absolute Deviation (MAD)1.12
Skewness1.927388541
Sum3896.04
Variance2.492542249
MonotonicityNot monotonic
2021-08-26T06:11:24.596483image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01064
37.5%
1.6923
 
0.8%
1.5923
 
0.8%
1.4723
 
0.8%
1.5422
 
0.8%
1.4921
 
0.7%
1.7221
 
0.7%
1.3720
 
0.7%
1.4120
 
0.7%
1.1920
 
0.7%
Other values (321)1581
55.7%
ValueCountFrequency (%)
01064
37.5%
0.392
 
0.1%
0.431
 
< 0.1%
0.473
 
0.1%
0.521
 
< 0.1%
ValueCountFrequency (%)
16.671
< 0.1%
12.51
< 0.1%
12.071
< 0.1%
11.111
< 0.1%
101
< 0.1%

lex_liwc_power
Real number (ℝ≥0)

ZEROS

Distinct431
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.414334038
Minimum0
Maximum13.33
Zeros516
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:24.817081image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.065
median2.13
Q33.45
95-th percentile6.003
Maximum13.33
Range13.33
Interquartile range (IQR)2.385

Descriptive statistics

Standard deviation1.955585071
Coefficient of variation (CV)0.809989438
Kurtosis1.547505067
Mean2.414334038
Median Absolute Deviation (MAD)1.18
Skewness1.014232236
Sum6851.88
Variance3.824312968
MonotonicityNot monotonic
2021-08-26T06:11:25.044032image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0516
 
18.2%
3.1224
 
0.8%
3.3324
 
0.8%
2.5623
 
0.8%
2.8623
 
0.8%
1.6922
 
0.8%
3.4521
 
0.7%
4.3521
 
0.7%
3.2321
 
0.7%
2.3320
 
0.7%
Other values (421)2123
74.8%
ValueCountFrequency (%)
0516
18.2%
0.41
 
< 0.1%
0.561
 
< 0.1%
0.571
 
< 0.1%
0.591
 
< 0.1%
ValueCountFrequency (%)
13.331
< 0.1%
12.51
< 0.1%
11.861
< 0.1%
11.841
< 0.1%
11.111
< 0.1%

lex_liwc_reward
Real number (ℝ≥0)

ZEROS

Distinct313
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.368854827
Minimum0
Maximum7.55
Zeros1010
Zeros (%)35.6%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:25.264431image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.17
Q32.11
95-th percentile4.213
Maximum7.55
Range7.55
Interquartile range (IQR)2.11

Descriptive statistics

Standard deviation1.42761821
Coefficient of variation (CV)1.042928864
Kurtosis1.303953913
Mean1.368854827
Median Absolute Deviation (MAD)1.17
Skewness1.160700002
Sum3884.81
Variance2.038093753
MonotonicityNot monotonic
2021-08-26T06:11:25.481852image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01010
35.6%
1.5427
 
1.0%
1.4724
 
0.8%
1.6923
 
0.8%
1.5923
 
0.8%
1.0422
 
0.8%
1.8522
 
0.8%
1.4922
 
0.8%
1.320
 
0.7%
1.3220
 
0.7%
Other values (303)1625
57.3%
ValueCountFrequency (%)
01010
35.6%
0.321
 
< 0.1%
0.41
 
< 0.1%
0.442
 
0.1%
0.51
 
< 0.1%
ValueCountFrequency (%)
7.551
 
< 0.1%
7.51
 
< 0.1%
7.411
 
< 0.1%
7.191
 
< 0.1%
7.143
0.1%

lex_liwc_risk
Real number (ℝ≥0)

ZEROS

Distinct243
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7201374207
Minimum0
Maximum25
Zeros1686
Zeros (%)59.4%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:25.702285image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.28
95-th percentile2.82
Maximum25
Range25
Interquartile range (IQR)1.28

Descriptive statistics

Standard deviation1.190053338
Coefficient of variation (CV)1.652536451
Kurtosis68.34162429
Mean0.7201374207
Median Absolute Deviation (MAD)0
Skewness4.845927637
Sum2043.75
Variance1.416226946
MonotonicityNot monotonic
2021-08-26T06:11:25.927740image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01686
59.4%
1.3320
 
0.7%
1.5919
 
0.7%
1.3218
 
0.6%
1.5416
 
0.6%
1.2816
 
0.6%
1.5616
 
0.6%
1.6916
 
0.6%
1.7216
 
0.6%
1.3915
 
0.5%
Other values (233)1000
35.2%
ValueCountFrequency (%)
01686
59.4%
0.341
 
< 0.1%
0.392
 
0.1%
0.441
 
< 0.1%
0.461
 
< 0.1%
ValueCountFrequency (%)
251
< 0.1%
12.961
< 0.1%
11.111
< 0.1%
6.671
< 0.1%
6.252
0.1%

lex_liwc_focuspast
Real number (ℝ≥0)

ZEROS

Distinct699
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.058562368
Minimum0
Maximum26.32
Zeros364
Zeros (%)12.8%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:26.150109image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.74
median4.245
Q37.545
95-th percentile12.663
Maximum26.32
Range26.32
Interquartile range (IQR)5.805

Descriptive statistics

Standard deviation4.066356785
Coefficient of variation (CV)0.8038562123
Kurtosis0.2653881498
Mean5.058562368
Median Absolute Deviation (MAD)2.735
Skewness0.8210500814
Sum14356.2
Variance16.5352575
MonotonicityNot monotonic
2021-08-26T06:11:26.378167image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0364
 
12.8%
6.6725
 
0.9%
4.5519
 
0.7%
4.7619
 
0.7%
12.519
 
0.7%
5.2618
 
0.6%
5.5618
 
0.6%
7.6916
 
0.6%
9.0916
 
0.6%
6.2516
 
0.6%
Other values (689)2308
81.3%
ValueCountFrequency (%)
0364
12.8%
0.531
 
< 0.1%
0.561
 
< 0.1%
0.611
 
< 0.1%
0.681
 
< 0.1%
ValueCountFrequency (%)
26.321
< 0.1%
21.311
< 0.1%
20.931
< 0.1%
20.411
< 0.1%
19.671
< 0.1%

lex_liwc_focuspresent
Real number (ℝ≥0)

ZEROS

Distinct945
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.32402748
Minimum0
Maximum35.71
Zeros31
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:26.599399image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.28
Q18.2
median12.365
Q316.07
95-th percentile21.51
Maximum35.71
Range35.71
Interquartile range (IQR)7.87

Descriptive statistics

Standard deviation5.633890152
Coefficient of variation (CV)0.4571468345
Kurtosis-0.1459041685
Mean12.32402748
Median Absolute Deviation (MAD)3.915
Skewness0.1702155291
Sum34975.59
Variance31.74071825
MonotonicityNot monotonic
2021-08-26T06:11:26.823905image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.2940
 
1.4%
031
 
1.1%
2029
 
1.0%
1028
 
1.0%
11.1127
 
1.0%
16.6725
 
0.9%
12.523
 
0.8%
13.3322
 
0.8%
15.3821
 
0.7%
10.5321
 
0.7%
Other values (935)2571
90.6%
ValueCountFrequency (%)
031
1.1%
0.831
 
< 0.1%
0.871
 
< 0.1%
0.981
 
< 0.1%
0.991
 
< 0.1%
ValueCountFrequency (%)
35.711
< 0.1%
33.331
< 0.1%
32.261
< 0.1%
31.911
< 0.1%
31.821
< 0.1%

lex_liwc_focusfuture
Real number (ℝ≥0)

ZEROS

Distinct305
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.183273432
Minimum0
Maximum11.86
Zeros1234
Zeros (%)43.5%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:27.051156image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.94
Q31.79
95-th percentile4
Maximum11.86
Range11.86
Interquartile range (IQR)1.79

Descriptive statistics

Standard deviation1.454197902
Coefficient of variation (CV)1.228961846
Kurtosis4.58396864
Mean1.183273432
Median Absolute Deviation (MAD)0.94
Skewness1.742017469
Sum3358.13
Variance2.114691537
MonotonicityNot monotonic
2021-08-26T06:11:27.275784image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01234
43.5%
1.5927
 
1.0%
1.4725
 
0.9%
1.2824
 
0.8%
1.3223
 
0.8%
1.3722
 
0.8%
1.2320
 
0.7%
1.1420
 
0.7%
1.4919
 
0.7%
1.4517
 
0.6%
Other values (295)1407
49.6%
ValueCountFrequency (%)
01234
43.5%
0.441
 
< 0.1%
0.461
 
< 0.1%
0.471
 
< 0.1%
0.531
 
< 0.1%
ValueCountFrequency (%)
11.861
< 0.1%
10.391
< 0.1%
101
< 0.1%
9.31
< 0.1%
8.821
< 0.1%

lex_liwc_relativ
Real number (ℝ≥0)

Distinct965
Distinct (%)34.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.25422128
Minimum0
Maximum39.29
Zeros11
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:27.500020image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.88
Q110.45
median14.01
Q317.86
95-th percentile23.53
Maximum39.29
Range39.29
Interquartile range (IQR)7.41

Descriptive statistics

Standard deviation5.499218525
Coefficient of variation (CV)0.3857957875
Kurtosis0.2189625584
Mean14.25422128
Median Absolute Deviation (MAD)3.67
Skewness0.304791674
Sum40453.48
Variance30.24140438
MonotonicityNot monotonic
2021-08-26T06:11:27.729692image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.544
 
1.6%
16.6742
 
1.5%
2033
 
1.2%
14.2932
 
1.1%
11.1126
 
0.9%
18.1823
 
0.8%
8.3323
 
0.8%
15.3820
 
0.7%
9.0919
 
0.7%
10.5317
 
0.6%
Other values (955)2559
90.2%
ValueCountFrequency (%)
011
0.4%
0.941
 
< 0.1%
1.121
 
< 0.1%
1.451
 
< 0.1%
1.521
 
< 0.1%
ValueCountFrequency (%)
39.291
< 0.1%
36.361
< 0.1%
35.381
< 0.1%
33.331
< 0.1%
32.691
< 0.1%

lex_liwc_motion
Real number (ℝ≥0)

ZEROS

Distinct377
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.004397463
Minimum0
Maximum14.55
Zeros699
Zeros (%)24.6%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:27.966631image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.6425
median1.69
Q33.03
95-th percentile5.33
Maximum14.55
Range14.55
Interquartile range (IQR)2.3875

Descriptive statistics

Standard deviation1.796234784
Coefficient of variation (CV)0.8961470055
Kurtosis2.152738932
Mean2.004397463
Median Absolute Deviation (MAD)1.3
Skewness1.140997912
Sum5688.48
Variance3.226459401
MonotonicityNot monotonic
2021-08-26T06:11:28.190385image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0699
 
24.6%
1.3229
 
1.0%
2.6324
 
0.8%
1.5924
 
0.8%
2.3322
 
0.8%
1.7222
 
0.8%
1.4721
 
0.7%
1.3920
 
0.7%
3.2320
 
0.7%
1.2820
 
0.7%
Other values (367)1937
68.3%
ValueCountFrequency (%)
0699
24.6%
0.41
 
< 0.1%
0.541
 
< 0.1%
0.591
 
< 0.1%
0.611
 
< 0.1%
ValueCountFrequency (%)
14.551
< 0.1%
11.761
< 0.1%
11.111
< 0.1%
10.711
< 0.1%
101
< 0.1%

lex_liwc_space
Real number (ℝ≥0)

ZEROS

Distinct670
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.295144468
Minimum0
Maximum21.43
Zeros65
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:28.423271image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.61
Q13.96
median5.97
Q38.275
95-th percentile12.053
Maximum21.43
Range21.43
Interquartile range (IQR)4.315

Descriptive statistics

Standard deviation3.26127667
Coefficient of variation (CV)0.5180622441
Kurtosis0.7207825086
Mean6.295144468
Median Absolute Deviation (MAD)2.18
Skewness0.6451980379
Sum17865.62
Variance10.63592552
MonotonicityNot monotonic
2021-08-26T06:11:28.640251image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
065
 
2.3%
7.6933
 
1.2%
6.6733
 
1.2%
530
 
1.1%
5.5630
 
1.1%
5.2630
 
1.1%
6.2528
 
1.0%
5.8828
 
1.0%
4.7626
 
0.9%
9.0924
 
0.8%
Other values (660)2511
88.5%
ValueCountFrequency (%)
065
2.3%
0.71
 
< 0.1%
0.792
 
0.1%
0.871
 
< 0.1%
0.932
 
0.1%
ValueCountFrequency (%)
21.431
< 0.1%
20.931
< 0.1%
201
< 0.1%
19.181
< 0.1%
19.051
< 0.1%

lex_liwc_time
Real number (ℝ≥0)

ZEROS

Distinct721
Distinct (%)25.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.19931642
Minimum0
Maximum27.27
Zeros138
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:28.855298image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9085
Q13.45
median5.68
Q38.47
95-th percentile13.046
Maximum27.27
Range27.27
Interquartile range (IQR)5.02

Descriptive statistics

Standard deviation3.781227431
Coefficient of variation (CV)0.6099426412
Kurtosis0.7701134156
Mean6.19931642
Median Absolute Deviation (MAD)2.475
Skewness0.743236845
Sum17593.66
Variance14.29768089
MonotonicityNot monotonic
2021-08-26T06:11:29.087157image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0138
 
4.9%
9.0925
 
0.9%
6.6724
 
0.8%
5.2624
 
0.8%
7.1423
 
0.8%
523
 
0.8%
7.6921
 
0.7%
8.3321
 
0.7%
4.5520
 
0.7%
6.2520
 
0.7%
Other values (711)2499
88.1%
ValueCountFrequency (%)
0138
4.9%
0.71
 
< 0.1%
0.781
 
< 0.1%
0.871
 
< 0.1%
0.91
 
< 0.1%
ValueCountFrequency (%)
27.271
< 0.1%
221
< 0.1%
21.951
< 0.1%
20.511
< 0.1%
201
< 0.1%

lex_liwc_work
Real number (ℝ≥0)

ZEROS

Distinct438
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.875694151
Minimum0
Maximum20
Zeros1135
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:29.323914image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.16
Q32.78
95-th percentile6.67
Maximum20
Range20
Interquartile range (IQR)2.78

Descriptive statistics

Standard deviation2.45523381
Coefficient of variation (CV)1.308973432
Kurtosis6.012586992
Mean1.875694151
Median Absolute Deviation (MAD)1.16
Skewness2.053005663
Sum5323.22
Variance6.028173064
MonotonicityNot monotonic
2021-08-26T06:11:29.556259image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01135
40.0%
1.1423
 
0.8%
1.5922
 
0.8%
1.3718
 
0.6%
1.2318
 
0.6%
1.6917
 
0.6%
2.516
 
0.6%
1.2715
 
0.5%
1.3315
 
0.5%
1.4115
 
0.5%
Other values (428)1544
54.4%
ValueCountFrequency (%)
01135
40.0%
0.391
 
< 0.1%
0.41
 
< 0.1%
0.461
 
< 0.1%
0.521
 
< 0.1%
ValueCountFrequency (%)
201
< 0.1%
18.421
< 0.1%
17.741
< 0.1%
17.241
< 0.1%
16.671
< 0.1%

lex_liwc_leisure
Real number (ℝ≥0)

ZEROS

Distinct278
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7851338971
Minimum0
Maximum13.33
Zeros1725
Zeros (%)60.8%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:29.782344image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.23
95-th percentile3.33
Maximum13.33
Range13.33
Interquartile range (IQR)1.23

Descriptive statistics

Standard deviation1.352406659
Coefficient of variation (CV)1.722517222
Kurtosis13.45365092
Mean0.7851338971
Median Absolute Deviation (MAD)0
Skewness2.912157573
Sum2228.21
Variance1.829003771
MonotonicityNot monotonic
2021-08-26T06:11:30.015316image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01725
60.8%
1.1422
 
0.8%
1.3716
 
0.6%
1.4916
 
0.6%
0.7916
 
0.6%
1.5915
 
0.5%
0.8514
 
0.5%
1.3214
 
0.5%
1.2314
 
0.5%
1.0814
 
0.5%
Other values (268)972
34.2%
ValueCountFrequency (%)
01725
60.8%
0.321
 
< 0.1%
0.371
 
< 0.1%
0.391
 
< 0.1%
0.431
 
< 0.1%
ValueCountFrequency (%)
13.331
< 0.1%
12.91
< 0.1%
12.351
< 0.1%
11.431
< 0.1%
10.451
< 0.1%

lex_liwc_home
Real number (ℝ≥0)

ZEROS

Distinct256
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6351127555
Minimum0
Maximum13.79
Zeros1916
Zeros (%)67.5%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:30.233907image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.075
95-th percentile2.996
Maximum13.79
Range13.79
Interquartile range (IQR)1.075

Descriptive statistics

Standard deviation1.217065603
Coefficient of variation (CV)1.916298473
Kurtosis18.51469805
Mean0.6351127555
Median Absolute Deviation (MAD)0
Skewness3.269224806
Sum1802.45
Variance1.481248683
MonotonicityNot monotonic
2021-08-26T06:11:30.456547image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01916
67.5%
1.5415
 
0.5%
0.8514
 
0.5%
1.1114
 
0.5%
1.3714
 
0.5%
1.5913
 
0.5%
0.9313
 
0.5%
1.3313
 
0.5%
1.4912
 
0.4%
1.4111
 
0.4%
Other values (246)803
28.3%
ValueCountFrequency (%)
01916
67.5%
0.341
 
< 0.1%
0.371
 
< 0.1%
0.381
 
< 0.1%
0.391
 
< 0.1%
ValueCountFrequency (%)
13.792
0.1%
12.51
< 0.1%
9.212
0.1%
8.821
< 0.1%
8.331
< 0.1%

lex_liwc_money
Real number (ℝ≥0)

ZEROS

Distinct309
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7862262156
Minimum0
Maximum14.93
Zeros1980
Zeros (%)69.8%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:30.684159image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.02
95-th percentile4.21
Maximum14.93
Range14.93
Interquartile range (IQR)1.02

Descriptive statistics

Standard deviation1.716933606
Coefficient of variation (CV)2.1837654
Kurtosis15.09097358
Mean0.7862262156
Median Absolute Deviation (MAD)0
Skewness3.42414476
Sum2231.31
Variance2.947861009
MonotonicityNot monotonic
2021-08-26T06:11:30.907154image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01980
69.8%
1.7912
 
0.4%
1.3212
 
0.4%
1.1811
 
0.4%
1.3311
 
0.4%
1.1411
 
0.4%
111
 
0.4%
1.7210
 
0.4%
0.8310
 
0.4%
1.310
 
0.4%
Other values (299)760
 
26.8%
ValueCountFrequency (%)
01980
69.8%
0.381
 
< 0.1%
0.391
 
< 0.1%
0.461
 
< 0.1%
0.523
 
0.1%
ValueCountFrequency (%)
14.931
< 0.1%
14.431
< 0.1%
14.291
< 0.1%
13.081
< 0.1%
12.51
< 0.1%

lex_liwc_relig
Real number (ℝ≥0)

ZEROS

Distinct117
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1156624383
Minimum0
Maximum8.24
Zeros2638
Zeros (%)93.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:31.141228image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.0215
Maximum8.24
Range8.24
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5284421891
Coefficient of variation (CV)4.568831478
Kurtosis75.73660455
Mean0.1156624383
Median Absolute Deviation (MAD)0
Skewness7.349009568
Sum328.25
Variance0.2792511472
MonotonicityNot monotonic
2021-08-26T06:11:31.357203image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02638
93.0%
0.886
 
0.2%
1.095
 
0.2%
1.545
 
0.2%
1.414
 
0.1%
1.324
 
0.1%
1.524
 
0.1%
1.233
 
0.1%
1.33
 
0.1%
0.933
 
0.1%
Other values (107)163
 
5.7%
ValueCountFrequency (%)
02638
93.0%
0.381
 
< 0.1%
0.42
 
0.1%
0.471
 
< 0.1%
0.521
 
< 0.1%
ValueCountFrequency (%)
8.241
< 0.1%
7.951
< 0.1%
7.841
< 0.1%
5.561
< 0.1%
5.261
< 0.1%

lex_liwc_death
Real number (ℝ≥0)

ZEROS

Distinct123
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1418111346
Minimum0
Maximum11.11
Zeros2580
Zeros (%)90.9%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:31.574848image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.19
Maximum11.11
Range11.11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5555526391
Coefficient of variation (CV)3.917553024
Kurtosis86.3866117
Mean0.1418111346
Median Absolute Deviation (MAD)0
Skewness7.107037987
Sum402.46
Variance0.3086387348
MonotonicityNot monotonic
2021-08-26T06:11:31.793386image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02580
90.9%
1.057
 
0.2%
1.327
 
0.2%
1.147
 
0.2%
1.16
 
0.2%
0.856
 
0.2%
1.475
 
0.2%
1.355
 
0.2%
1.115
 
0.2%
1.455
 
0.2%
Other values (113)205
 
7.2%
ValueCountFrequency (%)
02580
90.9%
0.381
 
< 0.1%
0.391
 
< 0.1%
0.441
 
< 0.1%
0.471
 
< 0.1%
ValueCountFrequency (%)
11.111
< 0.1%
8.331
< 0.1%
5.261
< 0.1%
5.081
< 0.1%
5.061
< 0.1%

lex_liwc_informal
Real number (ℝ≥0)

ZEROS

Distinct260
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8256553911
Minimum0
Maximum13.04
Zeros1627
Zeros (%)57.3%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:32.008974image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.33
95-th percentile3.283
Maximum13.04
Range13.04
Interquartile range (IQR)1.33

Descriptive statistics

Standard deviation1.319571011
Coefficient of variation (CV)1.598210373
Kurtosis11.80751047
Mean0.8256553911
Median Absolute Deviation (MAD)0
Skewness2.715984384
Sum2343.21
Variance1.741267653
MonotonicityNot monotonic
2021-08-26T06:11:32.241922image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01627
57.3%
1.4720
 
0.7%
1.4319
 
0.7%
1.5919
 
0.7%
1.3219
 
0.7%
1.6717
 
0.6%
1.4917
 
0.6%
1.3717
 
0.6%
0.9317
 
0.6%
1.1416
 
0.6%
Other values (250)1050
37.0%
ValueCountFrequency (%)
01627
57.3%
0.381
 
< 0.1%
0.391
 
< 0.1%
0.41
 
< 0.1%
0.441
 
< 0.1%
ValueCountFrequency (%)
13.041
< 0.1%
11.541
< 0.1%
11.111
< 0.1%
9.621
< 0.1%
9.521
< 0.1%

lex_liwc_swear
Real number (ℝ≥0)

ZEROS

Distinct166
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.246483439
Minimum0
Maximum8.33
Zeros2430
Zeros (%)85.6%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:32.469238image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.61
Maximum8.33
Range8.33
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7438074521
Coefficient of variation (CV)3.017677192
Kurtosis29.72869178
Mean0.246483439
Median Absolute Deviation (MAD)0
Skewness4.592137071
Sum699.52
Variance0.5532495258
MonotonicityNot monotonic
2021-08-26T06:11:32.683717image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02430
85.6%
1.679
 
0.3%
1.438
 
0.3%
1.418
 
0.3%
1.28
 
0.3%
1.188
 
0.3%
0.938
 
0.3%
1.617
 
0.2%
1.377
 
0.2%
1.597
 
0.2%
Other values (156)338
 
11.9%
ValueCountFrequency (%)
02430
85.6%
0.341
 
< 0.1%
0.381
 
< 0.1%
0.441
 
< 0.1%
0.522
 
0.1%
ValueCountFrequency (%)
8.331
< 0.1%
8.111
< 0.1%
7.941
< 0.1%
7.791
< 0.1%
7.691
< 0.1%

lex_liwc_netspeak
Real number (ℝ≥0)

ZEROS

Distinct159
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2552008457
Minimum0
Maximum11.11
Zeros2391
Zeros (%)84.2%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:32.879666image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.61
Maximum11.11
Range11.11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7307558907
Coefficient of variation (CV)2.863454033
Kurtosis38.17985984
Mean0.2552008457
Median Absolute Deviation (MAD)0
Skewness4.805648208
Sum724.26
Variance0.5340041718
MonotonicityNot monotonic
2021-08-26T06:11:33.100829image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02391
84.2%
1.311
 
0.4%
1.4911
 
0.4%
1.5910
 
0.4%
1.1810
 
0.4%
1.3210
 
0.4%
1.199
 
0.3%
1.147
 
0.2%
1.237
 
0.2%
1.617
 
0.2%
Other values (149)365
 
12.9%
ValueCountFrequency (%)
02391
84.2%
0.341
 
< 0.1%
0.391
 
< 0.1%
0.41
 
< 0.1%
0.431
 
< 0.1%
ValueCountFrequency (%)
11.111
< 0.1%
8.621
< 0.1%
7.691
< 0.1%
7.141
< 0.1%
6.061
< 0.1%

lex_liwc_assent
Real number (ℝ≥0)

ZEROS

Distinct118
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1191120507
Minimum0
Maximum8.7
Zeros2601
Zeros (%)91.6%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:33.323706image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.08
Maximum8.7
Range8.7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4845041735
Coefficient of variation (CV)4.067633547
Kurtosis69.87269654
Mean0.1191120507
Median Absolute Deviation (MAD)0
Skewness6.759237566
Sum338.04
Variance0.2347442941
MonotonicityNot monotonic
2021-08-26T06:11:33.537431image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02601
91.6%
0.946
 
0.2%
1.235
 
0.2%
1.325
 
0.2%
1.475
 
0.2%
1.155
 
0.2%
1.594
 
0.1%
0.994
 
0.1%
1.164
 
0.1%
0.784
 
0.1%
Other values (108)195
 
6.9%
ValueCountFrequency (%)
02601
91.6%
0.431
 
< 0.1%
0.471
 
< 0.1%
0.491
 
< 0.1%
0.531
 
< 0.1%
ValueCountFrequency (%)
8.71
< 0.1%
6.451
< 0.1%
5.411
< 0.1%
4.841
< 0.1%
4.761
< 0.1%

lex_liwc_nonflu
Real number (ℝ≥0)

ZEROS

Distinct110
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1247674419
Minimum0
Maximum3.85
Zeros2558
Zeros (%)90.1%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:33.756358image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.14
Maximum3.85
Range3.85
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4158661547
Coefficient of variation (CV)3.33313041
Kurtosis18.05658729
Mean0.1247674419
Median Absolute Deviation (MAD)0
Skewness3.921109934
Sum354.09
Variance0.1729446586
MonotonicityNot monotonic
2021-08-26T06:11:34.554222image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02558
90.1%
1.478
 
0.3%
1.088
 
0.3%
0.937
 
0.2%
0.857
 
0.2%
0.796
 
0.2%
1.146
 
0.2%
1.546
 
0.2%
1.156
 
0.2%
1.185
 
0.2%
Other values (100)221
 
7.8%
ValueCountFrequency (%)
02558
90.1%
0.381
 
< 0.1%
0.521
 
< 0.1%
0.571
 
< 0.1%
0.581
 
< 0.1%
ValueCountFrequency (%)
3.851
< 0.1%
3.71
< 0.1%
3.531
< 0.1%
3.491
< 0.1%
3.231
< 0.1%

lex_liwc_filler
Real number (ℝ≥0)

ZEROS

Distinct67
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04985553206
Minimum0
Maximum11.11
Zeros2731
Zeros (%)96.2%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:34.787793image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum11.11
Range11.11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3281578456
Coefficient of variation (CV)6.582175178
Kurtosis476.4109999
Mean0.04985553206
Median Absolute Deviation (MAD)0
Skewness16.68063288
Sum141.49
Variance0.1076875716
MonotonicityNot monotonic
2021-08-26T06:11:34.969156image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02731
96.2%
1.495
 
0.2%
1.014
 
0.1%
0.854
 
0.1%
1.23
 
0.1%
1.693
 
0.1%
0.953
 
0.1%
1.723
 
0.1%
0.623
 
0.1%
1.283
 
0.1%
Other values (57)76
 
2.7%
ValueCountFrequency (%)
02731
96.2%
0.521
 
< 0.1%
0.592
 
0.1%
0.612
 
0.1%
0.623
 
0.1%
ValueCountFrequency (%)
11.111
< 0.1%
4.351
< 0.1%
3.571
< 0.1%
2.21
< 0.1%
1.921
< 0.1%

lex_liwc_AllPunc
Real number (ℝ≥0)

Distinct990
Distinct (%)34.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.05365046
Minimum3.12
Maximum420.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:35.152092image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum3.12
5-th percentile8.194
Q112.05
median15.52
Q319.7275
95-th percentile29.03
Maximum420.41
Range417.29
Interquartile range (IQR)7.6775

Descriptive statistics

Standard deviation12.33585867
Coefficient of variation (CV)0.7233558994
Kurtosis498.4273323
Mean17.05365046
Median Absolute Deviation (MAD)3.68
Skewness17.73579892
Sum48398.26
Variance152.173409
MonotonicityNot monotonic
2021-08-26T06:11:35.331343image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.542
 
1.5%
16.6737
 
1.3%
2036
 
1.3%
14.2932
 
1.1%
2521
 
0.7%
22.2221
 
0.7%
11.1121
 
0.7%
18.1821
 
0.7%
13.3321
 
0.7%
9.0919
 
0.7%
Other values (980)2567
90.5%
ValueCountFrequency (%)
3.121
< 0.1%
3.571
< 0.1%
3.981
< 0.1%
4.331
< 0.1%
4.461
< 0.1%
ValueCountFrequency (%)
420.411
< 0.1%
289.361
< 0.1%
153.851
< 0.1%
1401
< 0.1%
127.51
< 0.1%

lex_liwc_Period
Real number (ℝ≥0)

ZEROS

Distinct512
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.066293164
Minimum0
Maximum47.06
Zeros33
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:35.516952image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.347
Q14.21
median5.59
Q37.25
95-th percentile11.489
Maximum47.06
Range47.06
Interquartile range (IQR)3.04

Descriptive statistics

Standard deviation3.219358195
Coefficient of variation (CV)0.5306961117
Kurtosis22.32391638
Mean6.066293164
Median Absolute Deviation (MAD)1.485
Skewness3.022534415
Sum17216.14
Variance10.36426719
MonotonicityNot monotonic
2021-08-26T06:11:35.735123image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.6739
 
1.4%
5.8839
 
1.4%
5.2637
 
1.3%
6.2536
 
1.3%
7.6935
 
1.2%
5.5634
 
1.2%
033
 
1.2%
6.4133
 
1.2%
7.1432
 
1.1%
4.5531
 
1.1%
Other values (502)2489
87.7%
ValueCountFrequency (%)
033
1.2%
0.771
 
< 0.1%
0.781
 
< 0.1%
0.881
 
< 0.1%
0.992
 
0.1%
ValueCountFrequency (%)
47.061
< 0.1%
41.671
< 0.1%
33.331
< 0.1%
29.851
< 0.1%
29.171
< 0.1%

lex_liwc_Comma
Real number (ℝ≥0)

ZEROS

Distinct546
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.573312192
Minimum0
Maximum41.86
Zeros444
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:35.952426image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.43
median3.265
Q35.19
95-th percentile8.64
Maximum41.86
Range41.86
Interquartile range (IQR)3.76

Descriptive statistics

Standard deviation2.870730814
Coefficient of variation (CV)0.8033809138
Kurtosis12.8199425
Mean3.573312192
Median Absolute Deviation (MAD)1.895
Skewness1.723732412
Sum10141.06
Variance8.241095405
MonotonicityNot monotonic
2021-08-26T06:11:36.166142image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0444
 
15.6%
5.8829
 
1.0%
5.2628
 
1.0%
3.5722
 
0.8%
4.7621
 
0.7%
421
 
0.7%
519
 
0.7%
3.0319
 
0.7%
5.5619
 
0.7%
4.5519
 
0.7%
Other values (536)2197
77.4%
ValueCountFrequency (%)
0444
15.6%
0.431
 
< 0.1%
0.51
 
< 0.1%
0.652
 
0.1%
0.662
 
0.1%
ValueCountFrequency (%)
41.861
< 0.1%
251
< 0.1%
20.881
< 0.1%
18.181
< 0.1%
17.391
< 0.1%

lex_liwc_Colon
Real number (ℝ≥0)

ZEROS

Distinct132
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2187878788
Minimum0
Maximum20
Zeros2475
Zeros (%)87.2%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:36.389167image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.47
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8070237208
Coefficient of variation (CV)3.688612574
Kurtosis184.8471729
Mean0.2187878788
Median Absolute Deviation (MAD)0
Skewness10.1534268
Sum620.92
Variance0.651287286
MonotonicityNot monotonic
2021-08-26T06:11:36.615597image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02475
87.2%
1.5911
 
0.4%
1.2310
 
0.4%
1.289
 
0.3%
1.149
 
0.3%
1.548
 
0.3%
1.698
 
0.3%
1.338
 
0.3%
1.37
 
0.2%
1.477
 
0.2%
Other values (122)286
 
10.1%
ValueCountFrequency (%)
02475
87.2%
0.341
 
< 0.1%
0.471
 
< 0.1%
0.521
 
< 0.1%
0.551
 
< 0.1%
ValueCountFrequency (%)
201
< 0.1%
15.381
< 0.1%
8.331
< 0.1%
7.51
< 0.1%
6.981
< 0.1%

lex_liwc_SemiC
Real number (ℝ≥0)

ZEROS

Distinct106
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1234284708
Minimum0
Maximum10.53
Zeros2611
Zeros (%)92.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:36.847630image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.163
Maximum10.53
Range10.53
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5001407419
Coefficient of variation (CV)4.052069501
Kurtosis86.35665118
Mean0.1234284708
Median Absolute Deviation (MAD)0
Skewness6.946025001
Sum350.29
Variance0.2501407617
MonotonicityNot monotonic
2021-08-26T06:11:37.072121image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02611
92.0%
1.237
 
0.2%
1.597
 
0.2%
1.287
 
0.2%
1.16
 
0.2%
1.696
 
0.2%
1.336
 
0.2%
1.565
 
0.2%
1.185
 
0.2%
1.374
 
0.1%
Other values (96)174
 
6.1%
ValueCountFrequency (%)
02611
92.0%
0.521
 
< 0.1%
0.541
 
< 0.1%
0.571
 
< 0.1%
0.652
 
0.1%
ValueCountFrequency (%)
10.531
< 0.1%
5.561
< 0.1%
4.921
< 0.1%
4.551
< 0.1%
3.571
< 0.1%

lex_liwc_QMark
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct205
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5190662438
Minimum0
Maximum105.41
Zeros2206
Zeros (%)77.7%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:37.291177image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.866
Maximum105.41
Range105.41
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.342935295
Coefficient of variation (CV)4.513750071
Kurtosis1419.32043
Mean0.5190662438
Median Absolute Deviation (MAD)0
Skewness32.41435419
Sum1473.11
Variance5.489345797
MonotonicityNot monotonic
2021-08-26T06:11:37.516522image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02206
77.7%
1.3211
 
0.4%
1.2310
 
0.4%
1.3310
 
0.4%
1.5910
 
0.4%
1.619
 
0.3%
1.399
 
0.3%
1.418
 
0.3%
0.798
 
0.3%
1.528
 
0.3%
Other values (195)549
 
19.3%
ValueCountFrequency (%)
02206
77.7%
0.381
 
< 0.1%
0.441
 
< 0.1%
0.472
 
0.1%
0.491
 
< 0.1%
ValueCountFrequency (%)
105.411
< 0.1%
17.651
< 0.1%
14.291
< 0.1%
12.92
0.1%
12.241
< 0.1%

lex_liwc_Exclam
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct127
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.192491191
Minimum0
Maximum40
Zeros2576
Zeros (%)90.8%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:37.736236image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.47
Maximum40
Range40
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.029933879
Coefficient of variation (CV)5.350550713
Kurtosis801.2335299
Mean0.192491191
Median Absolute Deviation (MAD)0
Skewness22.53512291
Sum546.29
Variance1.060763795
MonotonicityNot monotonic
2021-08-26T06:11:37.961344image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02576
90.8%
1.726
 
0.2%
1.326
 
0.2%
1.546
 
0.2%
1.476
 
0.2%
1.35
 
0.2%
1.895
 
0.2%
1.695
 
0.2%
0.955
 
0.2%
2.864
 
0.1%
Other values (117)214
 
7.5%
ValueCountFrequency (%)
02576
90.8%
0.381
 
< 0.1%
0.391
 
< 0.1%
0.521
 
< 0.1%
0.541
 
< 0.1%
ValueCountFrequency (%)
401
< 0.1%
11.271
< 0.1%
10.391
< 0.1%
10.21
< 0.1%
9.091
< 0.1%

lex_liwc_Dash
Real number (ℝ≥0)

ZEROS

Distinct221
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4868005638
Minimum0
Maximum55.56
Zeros2264
Zeros (%)79.8%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:38.187726image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.75
Maximum55.56
Range55.56
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.805352258
Coefficient of variation (CV)3.708607574
Kurtosis377.49458
Mean0.4868005638
Median Absolute Deviation (MAD)0
Skewness15.20397186
Sum1381.54
Variance3.259296774
MonotonicityNot monotonic
2021-08-26T06:11:38.397880image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02264
79.8%
1.0511
 
0.4%
1.3210
 
0.4%
1.239
 
0.3%
1.569
 
0.3%
1.188
 
0.3%
0.838
 
0.3%
0.958
 
0.3%
0.857
 
0.2%
1.147
 
0.2%
Other values (211)497
 
17.5%
ValueCountFrequency (%)
02264
79.8%
0.341
 
< 0.1%
0.431
 
< 0.1%
0.461
 
< 0.1%
0.522
 
0.1%
ValueCountFrequency (%)
55.561
< 0.1%
33.331
< 0.1%
31.251
< 0.1%
14.291
< 0.1%
13.041
< 0.1%

lex_liwc_Quote
Real number (ℝ≥0)

ZEROS

Distinct193
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4735130374
Minimum0
Maximum12.5
Zeros2393
Zeros (%)84.3%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:38.612656image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.23
Maximum12.5
Range12.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.295909085
Coefficient of variation (CV)2.736797054
Kurtosis15.70879264
Mean0.4735130374
Median Absolute Deviation (MAD)0
Skewness3.54355994
Sum1343.83
Variance1.679380358
MonotonicityNot monotonic
2021-08-26T06:11:38.805883image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02393
84.3%
2.4710
 
0.4%
2.449
 
0.3%
2.997
 
0.2%
2.677
 
0.2%
3.237
 
0.2%
2.566
 
0.2%
2.636
 
0.2%
2.946
 
0.2%
2.26
 
0.2%
Other values (183)381
 
13.4%
ValueCountFrequency (%)
02393
84.3%
0.521
 
< 0.1%
0.681
 
< 0.1%
0.761
 
< 0.1%
0.781
 
< 0.1%
ValueCountFrequency (%)
12.51
< 0.1%
10.531
< 0.1%
10.261
< 0.1%
10.131
< 0.1%
101
< 0.1%

lex_liwc_Apostro
Real number (ℝ≥0)

ZEROS

Distinct510
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.176458774
Minimum0
Maximum25
Zeros531
Zeros (%)18.7%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:38.983607image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.15
median2.725
Q34.76
95-th percentile8.33
Maximum25
Range25
Interquartile range (IQR)3.61

Descriptive statistics

Standard deviation2.723685864
Coefficient of variation (CV)0.85745985
Kurtosis2.260919379
Mean3.176458774
Median Absolute Deviation (MAD)1.755
Skewness1.091988315
Sum9014.79
Variance7.418464685
MonotonicityNot monotonic
2021-08-26T06:11:39.169189image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0531
 
18.7%
3.8525
 
0.9%
4.7623
 
0.8%
2.6323
 
0.8%
6.6721
 
0.7%
520
 
0.7%
1.7220
 
0.7%
5.5619
 
0.7%
1.6719
 
0.7%
418
 
0.6%
Other values (500)2119
74.7%
ValueCountFrequency (%)
0531
18.7%
0.521
 
< 0.1%
0.621
 
< 0.1%
0.633
 
0.1%
0.653
 
0.1%
ValueCountFrequency (%)
251
< 0.1%
20.691
< 0.1%
151
< 0.1%
13.891
< 0.1%
13.211
< 0.1%

lex_liwc_Parenth
Real number (ℝ≥0)

ZEROS

Distinct216
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7789605356
Minimum0
Maximum41.94
Zeros2072
Zeros (%)73.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:39.350756image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.41
95-th percentile3.67
Maximum41.94
Range41.94
Interquartile range (IQR)1.41

Descriptive statistics

Standard deviation1.728137768
Coefficient of variation (CV)2.218517742
Kurtosis147.0382022
Mean0.7789605356
Median Absolute Deviation (MAD)0
Skewness7.875704015
Sum2210.69
Variance2.986460146
MonotonicityNot monotonic
2021-08-26T06:11:39.530535image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02072
73.0%
2.2714
 
0.5%
2.0812
 
0.4%
2.212
 
0.4%
2.4112
 
0.4%
2.5612
 
0.4%
2.6712
 
0.4%
1.6912
 
0.4%
2.5312
 
0.4%
2.7411
 
0.4%
Other values (206)657
 
23.2%
ValueCountFrequency (%)
02072
73.0%
0.731
 
< 0.1%
0.751
 
< 0.1%
0.851
 
< 0.1%
0.881
 
< 0.1%
ValueCountFrequency (%)
41.941
< 0.1%
30.771
< 0.1%
11.841
< 0.1%
101
< 0.1%
9.761
< 0.1%

lex_liwc_OtherP
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct348
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.444263566
Minimum0
Maximum391.84
Zeros2042
Zeros (%)72.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:39.711648image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.9075
95-th percentile6.15
Maximum391.84
Range391.84
Interquartile range (IQR)0.9075

Descriptive statistics

Standard deviation10.05725305
Coefficient of variation (CV)6.963585654
Kurtosis1013.620291
Mean1.444263566
Median Absolute Deviation (MAD)0
Skewness29.21532564
Sum4098.82
Variance101.1483389
MonotonicityNot monotonic
2021-08-26T06:11:39.950568image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02042
72.0%
1.3211
 
0.4%
1.228
 
0.3%
6.158
 
0.3%
0.798
 
0.3%
1.698
 
0.3%
1.37
 
0.2%
0.857
 
0.2%
1.827
 
0.2%
5.137
 
0.2%
Other values (338)725
 
25.5%
ValueCountFrequency (%)
02042
72.0%
0.431
 
< 0.1%
0.471
 
< 0.1%
0.491
 
< 0.1%
0.51
 
< 0.1%
ValueCountFrequency (%)
391.841
< 0.1%
278.721
< 0.1%
1151
< 0.1%
92.311
< 0.1%
801
< 0.1%

lex_dal_max_pleasantness
Real number (ℝ≥0)

Distinct41
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.796963848
Minimum2
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:40.178260image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.5
Q12.7143
median2.8
Q33
95-th percentile3
Maximum3
Range1
Interquartile range (IQR)0.2857

Descriptive statistics

Standard deviation0.1626492797
Coefficient of variation (CV)0.05815208512
Kurtosis0.5887219059
Mean2.796963848
Median Absolute Deviation (MAD)0.0857
Skewness-0.6158192248
Sum7937.7834
Variance0.0264547882
MonotonicityNot monotonic
2021-08-26T06:11:40.396440image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3747
26.3%
2.7143362
12.8%
2.8333347
12.2%
2.75193
 
6.8%
2.7778191
 
6.7%
2.6667168
 
5.9%
2.857193
 
3.3%
2.62580
 
2.8%
2.875
 
2.6%
2.671
 
2.5%
Other values (31)511
18.0%
ValueCountFrequency (%)
23
0.1%
2.11
 
< 0.1%
2.11111
 
< 0.1%
2.14291
 
< 0.1%
2.16671
 
< 0.1%
ValueCountFrequency (%)
3747
26.3%
2.916724
 
0.8%
2.90912
 
0.1%
2.92
 
0.1%
2.888919
 
0.7%

lex_dal_max_activation
Real number (ℝ≥0)

Distinct54
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.704940204
Minimum1.8571
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:40.612527image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1.8571
5-th percentile2.4
Q12.625
median2.7
Q32.8571
95-th percentile3
Maximum3
Range1.1429
Interquartile range (IQR)0.2321

Descriptive statistics

Standard deviation0.1744615297
Coefficient of variation (CV)0.06449737019
Kurtosis0.1532567923
Mean2.704940204
Median Absolute Deviation (MAD)0.1182
Skewness-0.5312987938
Sum7676.6203
Variance0.03043682535
MonotonicityNot monotonic
2021-08-26T06:11:40.836138image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.8889458
16.1%
2.625420
14.8%
2.8329
11.6%
2.6667205
 
7.2%
2.5177
 
6.2%
3149
 
5.3%
2.75126
 
4.4%
2.5714107
 
3.8%
2.8571102
 
3.6%
2.636485
 
3.0%
Other values (44)680
24.0%
ValueCountFrequency (%)
1.85711
< 0.1%
1.91
< 0.1%
21
< 0.1%
2.11111
< 0.1%
2.1251
< 0.1%
ValueCountFrequency (%)
3149
 
5.3%
2.916712
 
0.4%
2.909124
 
0.8%
2.911
 
0.4%
2.8889458
16.1%

lex_dal_max_imagery
Real number (ℝ≥0)

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.948414376
Minimum2
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:41.024242image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.6
Q13
median3
Q33
95-th percentile3
Maximum3
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1258427561
Coefficient of variation (CV)0.04268150267
Kurtosis8.644264253
Mean2.948414376
Median Absolute Deviation (MAD)0
Skewness-2.786886268
Sum8367.6
Variance0.01583639926
MonotonicityNot monotonic
2021-08-26T06:11:41.183405image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
32342
82.5%
2.8300
 
10.6%
2.6169
 
6.0%
2.415
 
0.5%
2.211
 
0.4%
21
 
< 0.1%
ValueCountFrequency (%)
21
 
< 0.1%
2.211
 
0.4%
2.415
 
0.5%
2.6169
6.0%
2.8300
10.6%
ValueCountFrequency (%)
32342
82.5%
2.8300
 
10.6%
2.6169
 
6.0%
2.415
 
0.5%
2.211
 
0.4%

lex_dal_min_pleasantness
Real number (ℝ≥0)

Distinct33
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.088000828
Minimum1
Maximum1.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:41.367209image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31.1429
95-th percentile1.3333
Maximum1.9
Range0.9
Interquartile range (IQR)0.1429

Descriptive statistics

Standard deviation0.1171589151
Coefficient of variation (CV)0.1076827444
Kurtosis1.771542529
Mean1.088000828
Median Absolute Deviation (MAD)0
Skewness1.360651196
Sum3087.74635
Variance0.01372621139
MonotonicityNot monotonic
2021-08-26T06:11:41.566004image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
11557
54.9%
1.125408
 
14.4%
1.1429161
 
5.7%
1.1111103
 
3.6%
1.2857100
 
3.5%
1.289
 
3.1%
1.333379
 
2.8%
1.37555
 
1.9%
1.166749
 
1.7%
1.2542
 
1.5%
Other values (23)195
 
6.9%
ValueCountFrequency (%)
11557
54.9%
1.06252
 
0.1%
1.08333
 
0.1%
1.09091
 
< 0.1%
1.133
 
1.2%
ValueCountFrequency (%)
1.91
< 0.1%
1.66671
< 0.1%
1.6251
< 0.1%
1.57141
< 0.1%
1.55561
< 0.1%

lex_dal_min_activation
Real number (ℝ≥0)

Distinct22
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.120098502
Minimum1
Maximum1.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:41.753177image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.1429
Q31.1429
95-th percentile1.2727
Maximum1.5
Range0.5
Interquartile range (IQR)0.1429

Descriptive statistics

Standard deviation0.08522660695
Coefficient of variation (CV)0.07608849289
Kurtosis0.1789569621
Mean1.120098502
Median Absolute Deviation (MAD)0.0389
Skewness0.1673614371
Sum3178.83955
Variance0.007263574532
MonotonicityNot monotonic
2021-08-26T06:11:41.948583image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1.1429792
27.9%
1747
26.3%
1.125548
19.3%
1.1818294
 
10.4%
1.2593
 
3.3%
1.282
 
2.9%
1.333357
 
2.0%
1.166738
 
1.3%
1.222238
 
1.3%
1.285732
 
1.1%
Other values (12)117
 
4.1%
ValueCountFrequency (%)
1747
26.3%
1.083322
 
0.8%
1.09091
 
< 0.1%
1.114
 
0.5%
1.111126
 
0.9%
ValueCountFrequency (%)
1.53
0.1%
1.44441
 
< 0.1%
1.42
0.1%
1.3752
0.1%
1.36362
0.1%

lex_dal_min_imagery
Real number (ℝ≥0)

SKEWED

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.000211416
Minimum1
Maximum1.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:42.120077image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1.2
Range0.2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.006500268428
Coefficient of variation (CV)0.006498894455
Kurtosis942.6631403
Mean1.000211416
Median Absolute Deviation (MAD)0
Skewness30.72456388
Sum2838.6
Variance4.225348964 × 10-5
MonotonicityNot monotonic
2021-08-26T06:11:42.277413image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
12835
99.9%
1.23
 
0.1%
ValueCountFrequency (%)
12835
99.9%
1.23
 
0.1%
ValueCountFrequency (%)
1.23
 
0.1%
12835
99.9%

lex_dal_avg_activation
Real number (ℝ≥0)

Distinct2606
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.722759084
Minimum1.4854
Maximum2.0074
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:42.477719image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1.4854
5-th percentile1.6477785
Q11.69143
median1.72143
Q31.75176
95-th percentile1.8017115
Maximum2.0074
Range0.522
Interquartile range (IQR)0.06033

Descriptive statistics

Standard deviation0.04783531575
Coefficient of variation (CV)0.02776668903
Kurtosis1.051853447
Mean1.722759084
Median Absolute Deviation (MAD)0.03025
Skewness0.2328241189
Sum4889.19028
Variance0.002288217433
MonotonicityNot monotonic
2021-08-26T06:11:42.708423image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.701184
 
0.1%
1.734174
 
0.1%
1.735563
 
0.1%
1.725223
 
0.1%
1.714873
 
0.1%
1.751673
 
0.1%
1.710593
 
0.1%
1.678523
 
0.1%
1.699443
 
0.1%
1.725473
 
0.1%
Other values (2596)2806
98.9%
ValueCountFrequency (%)
1.48541
< 0.1%
1.562951
< 0.1%
1.565091
< 0.1%
1.573541
< 0.1%
1.575231
< 0.1%
ValueCountFrequency (%)
2.00741
< 0.1%
1.943371
< 0.1%
1.909861
< 0.1%
1.909411
< 0.1%
1.898591
< 0.1%

lex_dal_avg_imagery
Real number (ℝ≥0)

Distinct2111
Distinct (%)74.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.536399764
Minimum1.2
Maximum2.06667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:42.936983image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1.2
5-th percentile1.378188
Q11.469745
median1.530295
Q31.59603
95-th percentile1.7167555
Maximum2.06667
Range0.86667
Interquartile range (IQR)0.126285

Descriptive statistics

Standard deviation0.1029714284
Coefficient of variation (CV)0.06702124722
Kurtosis0.9023891287
Mean1.536399764
Median Absolute Deviation (MAD)0.06303
Skewness0.4516789078
Sum4360.30253
Variance0.01060311507
MonotonicityNot monotonic
2021-08-26T06:11:43.153222image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.624
 
0.8%
1.416
 
0.6%
1.4666713
 
0.5%
1.511
 
0.4%
1.5333311
 
0.4%
1.569
 
0.3%
1.489
 
0.3%
1.658
 
0.3%
1.528
 
0.3%
1.557
 
0.2%
Other values (2101)2722
95.9%
ValueCountFrequency (%)
1.21
< 0.1%
1.218181
< 0.1%
1.246151
< 0.1%
1.250851
< 0.1%
1.252631
< 0.1%
ValueCountFrequency (%)
2.066671
< 0.1%
2.033331
< 0.1%
2.028571
< 0.1%
1.970831
< 0.1%
1.951
< 0.1%

lex_dal_avg_pleasantness
Real number (ℝ≥0)

Distinct2615
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.879385384
Minimum1.56115
Maximum2.15849
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:43.368741image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1.56115
5-th percentile1.785427
Q11.8417825
median1.87825
Q31.9162425
95-th percentile1.975592
Maximum2.15849
Range0.59734
Interquartile range (IQR)0.07446

Descriptive statistics

Standard deviation0.05893169429
Coefficient of variation (CV)0.0313568972
Kurtosis1.192160792
Mean1.879385384
Median Absolute Deviation (MAD)0.03736
Skewness0.03115883025
Sum5333.69572
Variance0.003472944591
MonotonicityNot monotonic
2021-08-26T06:11:43.584546image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.865954
 
0.1%
1.87523
 
0.1%
1.931193
 
0.1%
1.931673
 
0.1%
1.833663
 
0.1%
1.880073
 
0.1%
1.833163
 
0.1%
1.883333
 
0.1%
1.933783
 
0.1%
1.972993
 
0.1%
Other values (2605)2807
98.9%
ValueCountFrequency (%)
1.561151
< 0.1%
1.583331
< 0.1%
1.629361
< 0.1%
1.655231
< 0.1%
1.667951
< 0.1%
ValueCountFrequency (%)
2.158491
< 0.1%
2.12541
< 0.1%
2.102761
< 0.1%
2.100771
< 0.1%
2.098581
< 0.1%

social_upvote_ratio
Real number (ℝ≥0)

Distinct73
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.843516561
Minimum0.14
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:43.807904image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0.14
5-th percentile0.48
Q10.75
median0.89
Q31
95-th percentile1
Maximum1
Range0.86
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation0.1747940071
Coefficient of variation (CV)0.2072205991
Kurtosis0.8209093393
Mean0.843516561
Median Absolute Deviation (MAD)0.11
Skewness-1.177714564
Sum2393.9
Variance0.03055294491
MonotonicityNot monotonic
2021-08-26T06:11:44.024440image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1975
34.4%
0.67146
 
5.1%
0.8188
 
3.1%
0.8679
 
2.8%
0.8476
 
2.7%
0.8870
 
2.5%
0.7666
 
2.3%
0.9266
 
2.3%
0.9365
 
2.3%
0.963
 
2.2%
Other values (63)1144
40.3%
ValueCountFrequency (%)
0.141
 
< 0.1%
0.172
 
0.1%
0.212
 
0.1%
0.258
0.3%
0.272
 
0.1%
ValueCountFrequency (%)
1975
34.4%
0.9938
 
1.3%
0.9816
 
0.6%
0.9715
 
0.5%
0.9628
 
1.0%

social_num_comments
Real number (ℝ≥0)

ZEROS

Distinct94
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.948555321
Minimum0
Maximum416
Zeros293
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2021-08-26T06:11:44.242723image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q310
95-th percentile33
Maximum416
Range416
Interquartile range (IQR)8

Descriptive statistics

Standard deviation21.79803221
Coefficient of variation (CV)2.191075137
Kurtosis118.221215
Mean9.948555321
Median Absolute Deviation (MAD)4
Skewness9.181630656
Sum28234
Variance475.1542083
MonotonicityNot monotonic
2021-08-26T06:11:44.457586image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2330
11.6%
0293
 
10.3%
4253
 
8.9%
1252
 
8.9%
3233
 
8.2%
5191
 
6.7%
6160
 
5.6%
9124
 
4.4%
8117
 
4.1%
7116
 
4.1%
Other values (84)769
27.1%
ValueCountFrequency (%)
0293
10.3%
1252
8.9%
2330
11.6%
3233
8.2%
4253
8.9%
ValueCountFrequency (%)
4161
< 0.1%
3182
0.1%
2922
0.1%
2871
< 0.1%
2761
< 0.1%

syntax_fk_grade
Real number (ℝ)

Distinct2417
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.448836141
Minimum-1.918
Maximum21.1989185
Zeros6
Zeros (%)0.2%
Negative14
Negative (%)0.5%
Memory size22.3 KiB
2021-08-26T06:11:44.673667image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1.918
5-th percentile1.830277951
Q13.729973111
median5.21
Q36.85521745
95-th percentile9.967675439
Maximum21.1989185
Range23.1169185
Interquartile range (IQR)3.125244339

Descriptive statistics

Standard deviation2.535829109
Coefficient of variation (CV)0.4653891295
Kurtosis1.754341751
Mean5.448836141
Median Absolute Deviation (MAD)1.542871653
Skewness0.7789387932
Sum15463.79697
Variance6.430429268
MonotonicityNot monotonic
2021-08-26T06:11:44.889555image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
06
 
0.2%
3.5542456145
 
0.2%
6.5298974364
 
0.1%
4.0777910454
 
0.1%
4.5761818184
 
0.1%
4.2333333334
 
0.1%
4.8135890414
 
0.1%
5.84254
 
0.1%
3.773260874
 
0.1%
3.1580769234
 
0.1%
Other values (2407)2795
98.5%
ValueCountFrequency (%)
-1.9181
< 0.1%
-1.8630952381
< 0.1%
-1.6841
< 0.1%
-1.2967647061
< 0.1%
-0.8407142861
< 0.1%
ValueCountFrequency (%)
21.19891851
< 0.1%
20.120769231
< 0.1%
17.790928571
< 0.1%
16.672596571
< 0.1%
16.291
< 0.1%

sentiment
Real number (ℝ)

ZEROS

Distinct1809
Distinct (%)63.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04074021625
Minimum-1
Maximum1
Zeros59
Zeros (%)2.1%
Negative1104
Negative (%)38.9%
Memory size22.3 KiB
2021-08-26T06:11:45.107533image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.2875243507
Q1-0.072222222
median0.0448214285
Q30.166666667
95-th percentile0.333333333
Maximum1
Range2
Interquartile range (IQR)0.238888889

Descriptive statistics

Standard deviation0.1954901246
Coefficient of variation (CV)4.798455742
Kurtosis1.873727999
Mean0.04074021625
Median Absolute Deviation (MAD)0.119604377
Skewness-0.294927798
Sum115.6207337
Variance0.03821638881
MonotonicityNot monotonic
2021-08-26T06:11:45.332630image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
059
 
2.1%
0.129
 
1.0%
0.227
 
1.0%
0.0523
 
0.8%
0.2521
 
0.7%
-0.119
 
0.7%
0.1518
 
0.6%
0.17514
 
0.5%
-0.0513
 
0.5%
0.16666666713
 
0.5%
Other values (1799)2602
91.7%
ValueCountFrequency (%)
-12
0.1%
-0.8583333331
< 0.1%
-0.82
0.1%
-0.7028571431
< 0.1%
-0.72
0.1%
ValueCountFrequency (%)
11
< 0.1%
0.91
< 0.1%
0.8751
< 0.1%
0.8333333331
< 0.1%
0.72
0.1%